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Consider the creation and distribution of a questionnaire on local priorities. The questionnaire on local priorities asks residents to identify their most significant issues, challenges and needs. Local governments can deploy various types of surveys to collect data on citizen priorities, each of which is explored in further detail below. 

Illustrative example: Moldova local priorities questionnaire

Take the following example of a questionnaire, which is translated from one used by an actual mayor and her team in Moldova

Sample Questionnaire: Moldova

Dear residents of [name of community],

 

We want to solve our locality’s problems. We know there is a lot to be done. City hall is aiming to identify critical needs, which come directly from what residents want to change. Only in this way will we be able to take concrete actions.

 

Please mark only one option!

 

With respect, 

The Mayor and team

4. Cleanliness of the locality

Why does this issue bother you?

 

 

 

 

 

  1. Water supply

Why does this issue bother you?

 

 

 

 

 

5. Another problem

Describe what other issue should concern city hall first.

 

 

 

 

  1. Local road conditions

Why does this issue bother you?

 

 

 

 

We will get back to you with our answers!

Please give us your contact details: 

 

Name:

 

 

 

 

Phone, email, address:

 

 

 

 

 

 

  1. Playgrounds and recreation

Why does this issue bother you?

 

 

 

With respect, [Name], Mayor,

Phone: 

Email: 


This questionnaire is straightforward and easy to understand. It aims for the respondent to place a check next to one of five preselected options, allowing residents to tell city hall more about why they selected a particular option. In Moldova, the mayor and her team went door to door in their community, aiming to hand the survey to residents from each neighborhood; they returned after some time to collect the survey. The questionnaire also captured both quantitative and qualitative data from community members. 

  • Quantitative: Residents were asked to rate a preset list of local issues in order of priority.
  • Qualitative: Residents were able to define the most important negative effects or challenges associated with these issues. Structured as an open-ended short-answer question, residents could provide additional detail on why they rated issues as they did.

When it comes to analyzing the survey results, the mayor and her team simply counted the number of checks for each issue; this will help them determine which issue or issues are the most important to residents. Once those issues have been identified – let’s say, for example, roads earned 50 percent, and water supply scored 30 percent of responses – the mayor and her team can look back through the “roads” pile of questionnaires to read what people wrote about why roads are a particular issue. There are likely a number of subordinate challenges making roads an issue – poor snow clearing, prominent potholes or degraded paving – the mayor and her team may need to conduct further consultations. This could include discussion with the local transit department to see what maintenance is planned and may involve public meetings in various neighborhoods to discuss the conditions of their roads.

“For me as a mayor this survey is very important, especially at the end of the year. In the beginning of the year, we do the survey and plan the year ahead and I rely on the results to identify my future plans. This helps me to convince the local councilors of the issues that need to be addressed.” – Mayor from Moldova

Consider the quote from a Moldovan mayor using this survey-based approach. Overall, the survey serves as a guide for further action, directing the mayor and her team toward a general priority that requires follow-up and attention and guiding their efforts throughout the year. Ultimately, some action should be taken, such as funding for repaving a particularly troublesome stretch of main street. In addition, the mayor can use the contact information provided through the survey to update residents with the survey results, send invitations to public meetings to discuss roads or other top priorities, and send summary letters of actions taken or planned on these priorities.

There are multiple types of surveys, differentiated by their goals and the methods used to get responses, and the Moldova questionnaire is an example of a “concerns survey.” 

Before issuing a questionnaire, it will be worthwhile testing the questionnaire on a small number of residents (perhaps 10 individuals). This can help to identify any potential issues with the questionnaire: unclear wording, a confusing ranking system, or missing priorities or options that should be included. Additional recommendations include: 

  • Wording the questionnaire in accessible and locally specific language
  • Including valid contact information and be receptive to residents’ questions
  • Ensuring compliance in data collection information and methods with any confidentiality and privacy legal obligations (e.g., GDPR)

When to conduct a survey 

Analysts and pollsters rely on surveys for three reasons: (1) direct, often quantifiable, answers to questions; (2) anonymity; and (3) randomness. Note that often, these pollsters and analysts have funding, technical training and capacity, and human resources (paid enumerators and interviewers) to help them collect, analyze, and present data. But even if you don’t have those resources, you can design simple surveys to serve your purposes.

You should conduct a survey when: 

  • You want to learn about community needs or identify top priorities.
    • Relatedly, you want to hear about needs you didn’t know existed (affecting people or groups outside your immediate social circle or neighborhood).
  • You want objective feedback.
    • You want respondents to be more honest and open than you might get through existing or public feedback channels (due to privacy concerns, fears of reprisal, embarrassment or social stigma, or even a simple fear of public speaking).
  • You want a reliable and systematic way to document or quantify community needs and priorities.
    • This proof of needs can be used to apply, lobby or advocate for funding (from government ministries, international organizations or other sources).
  • You plan to take actions or set an agenda based on the responses.
    • You can point to the survey results as the basis for taking action. Results can be further used to drum up support for your plan of action (should you face resistance from opposing stakeholders) and aim to get more people involved in your effort.

Other reasons to conduct a survey: 

  • You’re involving community members early on and helping them start thinking about pressing issues in the community. This can be helpful if you want greater public engagement down the road, such as in the dialogue and monitoring stages.
  • Surveys reach community members directly, meaning that you do not have to rely on professionals, service providers or others with vested interests in the issues.

Writing your questions

This guide assumes limited funds, time and technical resources or know-how (such as how to conduct rigorous statistical analyses). 

Strengths of a simple survey

Consider replicating the strengths of the simple survey issued by the Moldovan mayor above. 

Strength 1: It is short: 

There are two questions: What issue is most important to you? How would you recommend solving this issue?  

Note on framing: After asking “what” issue is most important, it is better to ask “how” that person would fix it (rather than “why” it bothers them). Asking “how” puts the respondent in a solution-oriented frame of mind (which is where your team should be already) and offers ideas that you might find useful. Asking why may simply be asking the obvious. For example, it’s clear why a pothole or unemployment is a problem. What may be less clear is the solution: take the pothole. Perhaps the pothole is regularly filled, but oversized trucks quickly degrade the road again somewhere else; the solution would be weigh stations or redirecting oversized traffic to roads.

Strength 2: Responses contribute to scoring or ranking: 

Each checkmark indicates the issue is a problem. The scoring system is also simple: Add up all of the checkmarks, and the issue with the most checks is the top priority, and so on.

While there are instructions to respond with only one checkmark, respondents can theoretically still select more than one. In that case, your team would need to decide how to score those responses – would these responses have equal or lesser weight in the overall count? For example, if they selected two issues (say “water” and “local roads”), would the sums for each of those issues rise by one (+1) or by one-half (+0.5)? There are advantages to both: If each gets a vote, you have a clear count of the exact number of residents who said, “This is a top priority for me.” If instead you split the votes, you ensure that each resident’s opinion is counted equally (picking one issue gives that response more “weight” compared to someone who picked multiple issues).

Strength 3: The survey is flexible and has an open-ended option: 

Respondents can reject the choices provided and give their own top priority. Respondents also have space to write why a particular issue bothers them the most (and perhaps how it should be solved). These comments are more difficult and time-consuming to enumerate and analyze (even if the space provided is small). But these “open-ended” elements are not so open-ended – nearly all comments will generally relate to one of the four provided issues and can more easily be categorized and tracked. The exception, of course, is if someone writes in their own issue (although, as mentioned, this has advantages).

Strength 4: The survey provides information to the respondent: 

The respondent learns the name of their representative and how they can be contacted by phone or email. The survey also shares (although with minimal detail) the next step: We [the government] will respond to your answers. 

Strength 5: The survey asks for contact information: 

The respondent can volunteer their contact information; it is not required. If the respondent selected a particular issue and wrote a specific enough complaint in the provided space, a member of the feedback loop team may follow up with them to learn more about the problem and fix it. Otherwise, their contact information will be used to provide general process updates (results of the survey, invitations to public meetings and progress reports). 

If possible, use a contact management system that the municipality already has to keep track of this information and leverage it for future communications. Note, however, that having this information may pose a legal concern if it is protected, personally identifiable information – consult your data governance and legal framework to ensure you have the proper permissions to handle this data. 

More advice for writing questions

In addition to the above, consider the following when writing your survey questions: 

Keep in mind your objectives (and keep your objectives specific)

Your objectives should guide your question design. What do you want to know? How can you frame your questions to get that data? 

Note that the Moldovan example offers a small subset of general issue areas: water, roads, playgrounds and cleanliness. The municipality has authority over these services, but the municipality has other responsibilities – why were these four selected? While the survey allows you to write in your own response, this initial list is a form of choice architecture. Choice architecture is the idea that “presenting choices in different ways will impact decision making” about those choices.

By listing these issues, city hall is encouraging respondents to pick one of them. You can also take advantage of choice architecture in your survey, but you should not abuse it. For instance, if you want a ranking of priorities, do not simply list your campaign priorities, forcing the results of the survey to inevitably result in the endorsement of one or more of your priorities. Instead, like the Moldovan example, create the option for a write-in/other answer, but also direct responses to predetermined categories. Focus on areas your team thinks are likely priorities and those within the control or remit of your local authority. 

Ensure that your objectives are specific enough: You are not trying to discover every resident’s issue related to the local authority administration. The survey should be focused on its goal: from a preselected list, rank specific priorities, and identify key problems. 

Keep in mind your audience

If you hope that anyone and everyone in your community responds to the survey, it must be clear and straightforward. A resident should not require specific or technical knowledge to answer the survey. 

Be clear and test your survey 

Your survey may seem clear to you and your team members, but you must test it on someone who – like your average resident – has never seen it before and may only have a vague understanding of what it will be used for. They will help you understand which questions are unclear, whether they are confused by ranking systems, and if you need to make edits before printing several hundred more.

Case study: In one partner city, a survey asked residents to select their top five issues from a list (of more than five) on a scale of one to five. A score of one meant it was most important to them, and five least. Some residents reported being confused by the numbering system and responding instead with the reverse (5 points being more important, 1 point being less). Had the municipal team tested the survey on a select number of residents, they might have identified the issue in time to redesign the survey. It would have been better to instead offer a predetermined scale, where each issue is scored between 1 and 5 (see concerns survey below) or to allow residents only to pick one issue as a priority. 

A warning about open-ended questions and knowing your limits

As discussed above, responses to the Moldovan example survey will be extremely easy to analyze. Check marks can be added up. The write-in sections are small, making it manageable to read and track a few hundred – some residents may go off script, attaching pages of text about a specific issue (maybe a dangerous intersection) that they are passionate about. But most will use the survey as directed. 

Case study: One partner city included an open-ended “any other feedback” question at the end of their survey. They received feedback amounting to more than 1,000 additional issues through those written comments. The city’s feedback team did not have the time or skills to sift through those responses and categorize them; a skilled data analyst had to be hired, but the comments were only usable in a general sense. The city could not individually respond to these comments. The key lesson is to use open-ended questions extremely cautiously. If you expect to receive hard-copy responses, open-ended comments will be prohibitively burdensome and complicated for the city to analyze and respond to effectively. Instead, leave only a small space for written topics on preselected issues. Save open-ended questions for public meetings and dialogue sessions, where additional detail can be gathered and individuals can be followed up with on a case-by-case basis.

Suggestion about framing: Open-ended questions create the assumption that the government WILL respond to the issue. Governments that are unprepared to respond to each open-ended response should change the framing or wording. For example, asking respondents for a comment (or similar word/phrase that does not imply a response) eases this concern.

Self-administered vs. interviewer-administered survey

Finally, note that the Moldova survey is an example of a self-administered survey, meaning that the person responding to it is also filling it out. Conducting a self-administered survey assumes that your respondents can read and write in the language of the survey. If your community has a low literacy rate, however, or is linguistically diverse, you may need a different approach in which interviewers (who should be trained to reduce bias and not influence a respondent) survey respondents; this can be done in person or over the phone.

Additional guidance on survey questions

Nielsen Norman Group, “Writing Good Survey Questions: 10 Best Practices” (2023). Link

  • This brief article from a research firm offers concise and useful advice (with examples) for writing good survey questions, such as using clear, natural language, asking only about current (not future) circumstances, using balanced scales, and providing an opt-out (such as a “not applicable”). 

Pew Research Center, Writing Survey Questions. Link.

  • This web page offers more advanced and detailed guidance on writing survey questions, including a link to a “Wording 101” video. It focuses on how wording, question order, and other factors can influence responses and introduce bias.

Types of surveys

The following box describes sampling, its relevance to your data collection, and the kinds of surveys that may be useful to you as you seek to understand community priorities. 

Sample-based opinion surveying

Professional researchers usually conduct the surveys that we are all familiar with, and they rely on sampling to get an accurate approximation of consensus. It is often too expensive, difficult or unnecessary to interview everyone in a country, city or neighborhood to understand opinions – so these researchers turn to sampling. Sampling involves randomly selecting a sample, or subpopulation, of the group you are interested in and interviewing them. Even when done well, sampling cannot be perfectly accurate. There will always be differences between the perspectives or views of the sample and those of the general population; plus, opinions change, and many people do not want to answer a survey, introducing further error. Sampling is a best effort that preserves resources and helps researchers move quickly and reasonably accurately. 

With regard to sampling, professionals use varied technical approaches (see below). More complex methods are – for the most part – not necessary for our purposes, require technical skills to deliver and may even introduce bias. 

The following rules of thumb will be sufficient when planning a survey of residents (borrowed from Piroska Bisits Bullen’s “How to Choose a Sample Size for the Statistically Challenged,” which is a handy guide for sampling): 

  • Aim to collect at least 100 surveys: In all cases, the minimum sample size is 100. You should always endeavor to get at least 100 responses, even if only 100 people live in the community.
  • Collect no more than 1,000 surveys: The maximum sample size is 10 percent of your overall population but should go no higher than 1,000. Therefore, if one municipality has 10,000 residents and another has 25,000 residents, municipal teams in both communities will seek 1,000 returned surveys.
    • For example: If you want a representative sample from a community of 5,000, you will need 500 (10 percent) responses for sufficient accuracy; 100 is the minimum number.
    • Note: For door-to-door canvassing, collecting 1,000 surveys would require an extremely well-staffed effort. If your sample size approaches 1,000, consider alternative methods for distributing surveys (either in addition to or exclusive from door-to-door canvassing).

However, in reality, time and funding will conspire against us reaching the maximum. Most municipalities are time and resource poor. Aiming for the maximum is most important when you need to be most accurate, you think responses will be very different between respondents (it is a contentious issue), or the decisions are high stakes (a choice between funding and no funding for a service, for example). Many municipal decisions affect quality of life and may be high stakes for those affected, but some issues are more mundane. Therefore, reaching the maximum should be the goal, but falling short is not the end of the world. For example, in Moldova, the Institute’s partners only endeavored to collect surveys accounting for 10 percent of the households – i.e., 70 surveys if the community has 700 households.

Falling short of your survey sample size goal only means that your data is less representative (proportional to how far you are from your goal) and should be taken with caution as you report findings and move on to the public dialogue. Still, even if you only make it halfway to your survey sample goal (but past the minimum 100 surveys), you may still have enough responses to conduct some basic analysis between big subgroups (e.g., men and women). However, in this case, only very large differences in opinion (more than 15 or 20 percent, say) between groups may have any meaning. With a small sample size, differences in opinion may simply be a factor of who you managed to survey, rather than a real reflection of the community’s differences in opinion. In short, findings from small sample-size surveys are useful but should be viewed with healthy skepticism until you can learn more.

Based on the above, you now have a number: your desired sample size. The next question, how to distribute and collect surveys, is discussed below.

More advanced sampling

Depending on the subject being sampled, as well as public perception and practical considerations (as well as your resources), you may employ a statistician who can advise you or select a sampling method for you. They may select a general random sample, a stratified random sample or a cluster sample.

  • In a general random sample (or simple random sample), you would have a list of all local residents (let’s say 1000) and assign each a number (1, 2, 3 and so on). You would then decide on a sample size (100, using our guide from above) and randomly select (through some method or by a computer algorithm) the numbers/individual residents (#2, #6, #22 and so on) – in this way, the selection resembles a lottery. Selected individuals would receive interviews. This requires a full list of residents and the ability to contact all residents, although residents must return the survey. It has the benefits of being quick and gives everyone an equal chance of being selected. This is the most straightforward method.
  • A stratified random sample divides a general population into smaller groups (strata) and uses these groups as the basis for sampling. This is useful when you want to account for divisions in your research (age, gender, etc.) – but it is more technical and only possible if people can be slotted into one (and only one) subgroup. It is different from a general random sample (above), which uses the whole population as the basis for a sample. For example, a stratified random sample may be used first to divide the population by age (let’s say the census shows that in your community, 20 percent of residents are below the age of 30, 50 percent are 30–50, and 30 percent are 50+). Based on these strata, when sampling, you could randomly select 20 people from among the group under age 30, 50 people between the ages of 30–50, and so on – this is called proportionate sampling and will make your overall sample more representative of the total population (but only according to this one variable – age).
    • This proportional use resembles weighting. Weight refers to the number of units (in our case, the unit is residents) that each surveyed resident is standing in for. For example, in a sample of 100 out of 1,000, each surveyed person represents nine non-surveyed peers. Weighting therefore refers to the processes used to ensure this number is relatively consistent across variables the researcher considers important (such as age). For example, in the case above, with age groups, a simple/general sample may not deliver 50 individuals aged 30–50 years old that a stratified sampling would.
  • Cluster sampling first breaks the population into groups that are often comparable or pre-existing: zip codes, schools and neighborhoods. Then, clusters are randomly selected, with samples drawn from these clusters. In one-stage cluster sampling, clusters are randomly selected, and then all members of that cluster form the sample/are interviewed. In two-stage cluster sampling, a cluster is randomly selected, and individuals within the cluster are randomly selected to form a sample. Cluster sampling can introduce selection bias or sampling error, and the members of a cluster may resemble each other (rather than be representative of the total population).

The critical point is that the sampling method remains random and representative in a way that your team can effectively deploy, limits bias, and is easily explained to stakeholders who ask how survey participants were selected.

Generic issues or canvassing survey

The survey provided by the Moldovan mayor above is an example of a generic issues survey. The Moldova survey is designed to be handed out to residents, returned, and then quickly analyzed.

When generating a general issues survey, you should follow the advice above in this section. This kind of survey can be distributed to a random sample or handed out to as many people as possible.

Consider the following means of distribution:

  • Door-to-door canvassing: This is the “Moldova method” – local leaders and their teams went door to door in their communities, handed out survey questionnaires, explained the survey and gave instructions for their return. This is time-consuming and in large communities is only feasible with volunteer support or a random sampling method to reduce the number of doors that must be reached. Door-to-door canvassing is discussed in more detail later in this section.
  • Mailed surveys: Surveys are mailed to individual addresses and – upon completion – are mailed back. This can be costly in terms of printing materials and paying for postage, but if mail service and address records are reliable, it can be an effective method of distributing surveys. However, mailed surveys have generally low response rates (the percent of complete surveys received compared to the number sent out); in practice, this means that many surveys need to be mailed out to ensure sufficient responses are received. Mailed surveys also should be accompanied by a cover letter explaining the contents of the survey and should include another prepaid and addressed envelope for the survey to be returned. In addition, mailed surveys can be marked with a unique code or color to track responses by area or addressee.
  • Online surveys: Online surveys can be cheaply and rapidly sent to many people, and their return is nearly instantaneous. Analysis of online surveys is also relatively straightforward and might even be automatic. Finally, there are some free options for online surveys: Google Forms is free, easy to use and does not set any limits on the number of surveys you can create, the number of questions you can ask, or the number and source of responses; these surveys can be taken anonymously or the emails of respondents can be volunteered or tracked. A main challenge of online surveys is the notoriously low response rate – this can be counterbalanced by handing out large numbers of surveys and consistent follow-up and reminders about the survey. Residents will need internet access and a computer or smartphone to respond to the survey. For this reason, you will likely have a sample of responses biased toward higher income and younger residents. In addition, the online survey does not involve any face-to-face contact. Online surveys can feel impersonal when compared to survey distribution that involves face-to-face contact. Links to take the survey can be sent via email, and links to take the survey can be placed on the municipal website or shared via social media accounts and other online or chat-based groups (Viber, Whatsapp, Signal).
  • Convenience sampling: Convenience sampling involves handing out surveys at public places where you know people will congregate. For example, your team or volunteers organize a small stand or table in a public square or park or outside a grocery store or popular restaurant area. This offers the advantage of increasing the visibility and awareness of the survey taking place (“I saw the mayor and our alderman at the fairground today, and they were handing out this survey . . .”), and also – if the survey is short enough and you supply pens and writing space or clipboards – residents may be able to respond right then and there. The downside, however, is that you will be reaching a certain and self-selecting demographic dependent on your chosen location and time of day. For example, you may not collect many surveys from office or factory workers or people with mobility or accessibility challenges if you select a public park on a weekday. If you are targeting beneficiaries of a specific program, especially one related to a specific location, such as a department of motor vehicles or a health clinic, you can distribute surveys at that location. However, distributing surveys at a public park or athletic field, market or grocery store, or other public space may yield a biased sample. In addition, you will collect surveys from the kind of people willing to stop and take a municipal survey. You can expand the number and scheduling of your convenience sampling locations, but this self-selection bias is more difficult to account for. Finally, convenience sampling, as suggested here, poses the obvious difficulty of staffing a table in a public place for a prolonged period – in the cost of materials and the time of team members or staff handing out surveys.

Concerns survey

Another kind of survey you can consider is the concerns survey – this is different from the above survey in that it usually has more questions, and the type of responses community members provide will be used to identify “concerns.” Usually, this survey is given to as many people as possible in a community – in other words, no random sampling is required if you are looking to collect. While you do not need to randomly sample, you should not forget about sample size – try to collect surveys sufficient to reach this sample size.

This survey’s questions are focused on identifying the most important issues in the community. For each issue that is provided, respondents are asked to answer two questions:

  1. How important is this issue to you?
    1. Scale of 0 to 5, with not important being 0, and very important being 5.
  2. How satisfied are you with the local authority’s efforts in this area?
    1. Scale of 0 to 5, with not satisfied being 0, and very satisfied being 5.

This kind of rating system for questions is called a Likert scale and is widely used in research.

Answers to these questions can be used to quickly determine

  1. The issues that residents find important (where there are high scores on question 1), and
  2. The issues about which local residents report being dissatisfied with the government’s response (low scores on question 2).

Of particular note are issues with both of these ratings: high importance and low satisfaction. These particular issues should be the starting point for your local authority’s dialogue.

In addition, areas of strength for your local authority (high importance and high satisfaction, or simply high satisfaction) may also warrant your team’s attention. Consider the teams, departments or processes that manage those issue areas – are there successful practices that the rest of the local authority can model?

This survey is also simple to take and does not need to include an open-ended element. Usually, this survey is given to as many people as possible in a community – in other words, no random sampling is required if you are looking to collect opinions from residents generally. That said, be careful of collecting lopsided opinions: only from older women, only from parents with children, etc. Try to reach as many members of the community as you can. While you do not need to randomly sample, you should not forget about sample size – try to collect surveys sufficient to reach your sample size. If you exceed your sample size and collect a large number of surveys, you can even introduce random sampling later – by selecting or analyzing only every second or third survey, for example.

A step-by-step guide to conducting a concerns survey can be found on the Community Toolbox, published by the Center for Community Health and Development at the University of Kansas: Link.

Panel survey

The key difference between this survey and the concerns survey is the use of a “panel.” This is a preselected group of individuals who meet certain criteria (i.e., in your case, they might form a representative snapshot of the city’s population) and who have agreed or volunteered to be contacted periodically and respond to a survey. In short, you already have the people you want to interview on standby.

Individuals may opt to join the panel through the municipal website, by responding to a municipal letter, or some other way. Once you have collected a sufficient number of volunteers, you can organize them based on characteristics that are relevant to securing a representative sample to ensure that the panel is truly representative (based on age, gender, religion, employment status, etc.). You will also need a contact method by which you can reach out to or “activate” the panel to respond to a survey.

Pros:

  • Savings in time and cost: It is relatively straightforward to contact and get responses from your panel composed of volunteers.
  • Representativeness: The panel is preselected and known, and thus more likely (assuming you have enough volunteers) to represent the community.
  • Analysis over time: One major benefit of panels is that your local authority can observe change in responses over the years. For example, asking the same question every other year (“What is your satisfaction with [particular issue]?”) can help flag slow-to-emerge issues or perhaps reveal long-term gains.

Cons:

  • Panel conditioning: Some research also indicates that, simply as a result of participating in multiple survey waves, some panelists may change their responses in later survey waves. For example, simply by being on the panel, they may seek out information about the topics. This is called “panel conditioning.” The effect, however, seems to be small and can even be beneficial (for example, if the panelist becomes more knowledgeable on a topic).
  • Panel attrition: You will need to maintain and update the panel over time as panel members drop out (making the panel less representative).

An example of a local authority deploying panel interviews is the “Your Dublin, Your Voice” program. The city of Dublin, Ireland, has a base of approximately 4,500 volunteers who have “opted in” to be contacted. The city issues four surveys to this panel every year on various issues. Each survey aims to receive about 1,000 responses.

  • Read more about Your Dublin, Your Voice on their website here: Link.

Additional resources on community surveys

Kansas University, Community Toolbox. “Conducting Surveys” [Link].

  • This resource offers guidance on surveys, types of surveys, and when they are useful, and provides step-by-step instructions on implementing and analyzing a survey. The entire Community Toolbox offers a wealth of advice and resources on public outreach, although it is not necessarily geared toward government officials.

Community Needs Assessment Survey Guide, Utah State University Extension (2014). Link,

  • This resource offers guidance on community surveys, including steps and checklists for deployment. Of note, it also includes sample press releases that can be issued before the survey is released, during survey deployment, and to share the results of the survey.

Resource considerations and constraints

Conducting a survey presents a logistic challenge: How will you get your questionnaire to respondents, and how will your respondents get the survey back to you?

You have, generally, two options: a written survey or an online survey. There are other methodologies, but we are excluding in-person and phone interviews (as they pose practical challenges, and interviewers must be trained and remunerated). Instead, we are looking for a survey that respondents can respond to in their own time and with privacy.

Consider the following when deciding which survey design and distribution method to use:

  • Cost of materials
    • Printing costs
    • Postage (if mailing)
    • Survey design software (if conducting an online survey and not using Google Forms)
  • Staff time required for distributing surveys
    • How many staff hours will be needed for door-to-door canvassing, staffing booths if convenience sampling, or filling and addressing envelopes? If you select door-to-door canvassing, how far will you need to travel: will you need a ferry, bike or car to reach your sample, or can you walk?
  • Staff time required for following up and collecting surveys
    • If door-to-door canvassing, will you have staff return to each door and follow up on or collect surveys, or can residents drop the survey off somewhere?
    • If you use drop boxes or mail surveys, will staff need to periodically check mailboxes or drop boxes?
    • If you do not receive enough responses, will you have staff send reminders via mail, expand convenience sampling efforts, or conduct other outreach to encourage survey return?
  • Staff time required for analysis of surveys
    • Once you collect a sufficient number of surveys (based on your goal sample size), you can begin analysis. If your survey was issued online, transferring responses into a single tracker is very easy – Google Forms will automatically create a Google Sheet of the responses.
    • For hard-copy surveys, you will need to enumerate the responses – i.e., manually count with pen and paper, or type the responses manually into an online format (Google Sheets will work well here and is free). Depending on the complexity of your survey, this process can be time-consuming and a little repetitive, but accuracy is important. If this is your process, think ahead: Surveys with open-ended questions and responses will take significantly longer to type than simply marking a “1” in a column for each response.
  • The cost in time and effort for the respondent
    • You should also consider the cost for the respondent – how long will it take to complete the survey, and how difficult or easy is it for the respondent to return it once they are done? You should aim to make it as easy as possible to return the survey – there should be no monetary cost and as minimal time or convenience cost as possible.
      • Online surveys are easiest to return – simply click submit, but you do need an internet connection, etc.
      • Mail-in surveys should come with an addressed and stamped return envelope so that the respondent can simply mail it back. Paying for this postage may incur a cost for the municipality.
      • Surveys acquired by door-to-door canvassing, convenience sampling, or otherwise handed out or picked up may be returned via mail (if postage and an envelope are provided) or in a drop box. Depending on the size of your community, drop boxes should be conveniently located, secured against weather (and vandalism/mischief, perhaps within view of someone or the public), and easily accessible (e.g., in a first-floor lobby).

Real-life example: In Moldova, feedback loop teams repeated their door-to-door canvassing routes and returned in person after two weeks had passed to collect the survey; Moldovan municipal leaders consider this step an important part of demonstrating accountability and interest in the responses. In addition, picking up a survey in person makes it clear to the resident that their response has been received and will be counted, compared with clicking “submit” on an online survey or dropping a response in the mail or a drop box. That said, Moldovan communities are usually rather small in geography and population, making a repeat of the canvassing approach slightly easier. In Slovakia, city officials initially made efforts to pick up surveys but had to do so on their own time and often missed residents who were not at home; to compensate, they opted to create a drop box in city hall, which helped to address the issue.

Door-to-door canvassing

One common request to NDI by elected officials participating in feedback loop processes featuring door-to-door canvassing is for a script. Even those who publicly campaigned and won elections to public office get nervous about talking face-to-face with their neighbors. In reality, there is nothing to be stressed about. People love being asked their opinion, meeting new people can be fun and interesting, and it gives people a chance to meet their elected officials and public servants. In addition, canvassing is a chance to observe: getting outside and walking around your community is a great way to observe issues you’re asking about in practice, get a sense of quality of life, and see streets and neighborhoods you might not have visited before.

Door-to-door canvassing tips:

  1. Have a script (see below).

You do not need to memorize the script and should avoid reading it when the door opens. Instead, view the script as the key pieces of information you think the resident should know about why you are standing in front of them: who you are; why you are giving them a survey; what is in the survey; how to return it/hand it in; and what will happen next.

  1. Be prepared for questions.

Your team should generate frequently asked questions (FAQs) and answers about the preselected issues on the survey so that volunteers or other team members can refer to them during canvassing. This can include responses to expected questions: “Why only these issues, not X?” “Who will see this survey?” Your team members should be prepared to answer questions about how data – such as contact information – will be stored and kept secure.

If you are a volunteer and the question has a subjective response (or you don’t know the answer), it is likely best to direct the resident to contact city hall using the contact on the survey. If you are the elected official and don’t know the answer, you can take down the resident’s contact information and follow up with them later.

  1. Have a plan for outreach and map your route.

If you are trying to reach a certain number of residents, have a sampling plan, or otherwise have a large area to cover, you should have an accurate map of the area and plan your route with your team members. This way, you can avoid knocking on the same doors and break up the outreach into manageable metrics and timelines. Is it realistic to reach 10 to 15 doors an hour? How many days of outreach would it take you to reach 100 residents? Use the tools of the municipality (such as census data) to your advantage. For example, do you know which homes or buildings are empty and can be skipped?

As part of your plan, consider when people are most likely to be home. If you are canvassing at noon on a Wednesday, who is most likely to answer the door? If you canvass on a Saturday morning instead, would more people be home? Consider work schedules, times of prayer and worship, care duties, and other social activities and reasons that would have people out and about.

  1. Keep things moving but be polite.

Related to the above, canvassing can be time-consuming, but in order for the survey to be representative and useful, you will need to reach a large number of residents – or as many as possible. You should aim to be courteous and respectful, but you have a job to do, and efficiency is important. At times, an excited resident (perhaps someone you know) may want to keep you talking or have a debate, and you’ll need to find a way to politely move on. Having a script can be useful in these situations. If you spend more than 10 or 15 minutes at every house, you will spend significantly more time than your schedule allows collecting responses.

  1. Have a plan for when all family members are not home.

Depending on your survey’s goals and sampling (or its lack of sampling), you may want responses from everyone in the household (or at least everyone older than 18 years old, for example). If only one member is home, give them the required number of surveys so that all eligible respondents can participate in the survey if they choose.

Some respondents may suggest that they (a married couple, for example) can respond to a single questionnaire together. Politely ask that even if they agree, they must respond to separate questionnaires; the rule “one person, one questionnaire” is important because the priorities will be ranked based on the number of responses.

  1. Be flexible and don’t be afraid to ask for help.

Your initial outreach plan may not work. Bad weather may cause issues. Be flexible and consider alternatives. Canvassing is low cost and has benefits, but it is time-consuming. For various reasons, it may not be the most effective choice for your particular geography or community. You know your community best – innovate and adapt this approach to what feels comfortable for you and your team. In addition, don’t be afraid to ask for help. One person can knock on hundreds of doors (as one city councilor in Vrable, Slovakia, did, reaching every door in his district), but it’s a huge undertaking. Ask for help – get support from volunteers, team members, civil society organizations and others. Just be sure that if you do recruit others, you provide them with FAQs (see above) and offer guidance and support.

  1. Don’t forget the practicalities: Hydrate and wear comfortable clothes and shoes.

 

 

Box. Sample script for canvassing:

Hi! My name is [name], and I am a [position as relevant to this interaction: elected official, volunteer].

The [insert body or office leading the process: mayor’s office, e.g.] is conducting a survey of residents [or, if the survey is more targeted, indicate that: e.g., students, people who use a certain program].

This survey will be used for [reason: e.g., long-term strategy, budgeting].

Your responses will be kept anonymous [add any other privacy or legal considerations you think are important or that you are required to disclose].

Are you willing to participate? (If yes, hand them the questionnaire)

Is there anyone else at this address that should respond to the survey? (If so, leave an additional survey or surveys.)

The questionnaire asks about [describe questions in brief; explain that they can skip sections if they wish; if the questionnaire asks for contact or demographic information, say what it will be used for].

When you are finished with the questionnaire, please [describe collection: hold onto it, as I will return in two weeks to pick it up; please mail it using the prepaid postage to an address; please drop it off at the designated box at city hall; combination of the above].

Do you have any questions? [Refer to your FAQs].

Thank you for your time. Goodbye!

 

 

Box. Additional resource for canvassing:

Many resources refer to canvassing in the context of a political or advocacy campaign and are often focused on organizing volunteers rather than elected officials. However, many of their lessons hold true for the canvassing process envisioned here. The following offers additional guidance on canvassing in the context of political campaigns: Tools Roundup Canvassing and Door Knocking, Blueprints for Change [Link].

Box. Questions for statistical purposes and to ensure accuracy and representativeness

In your questionnaire, you may want to add questions to learn more about the demographics of your respondents. Generally, this will be useful to know, overall, whether you reached a representative selection of the community; i.e., do the people in your responses look like the community? For example, did you reach equal numbers of men and women? Did only people older than 40 answer your survey? If voices are missing, consider supplementing the questionnaire with specific outreach to that group.

In addition, demographics can aid in your analysis, especially if you’d like to break down responses by particular groups. See Step 6 for more details. Note that your sample size needs to be sufficiently high enough for differences between groups to be meaningful. If your sample size is far from the maximum, differences in responses between men and women, for example, are more likely to be random or coincidence rather than a sign of actually different preferences between the groups.

Keep in mind you should have a clear reason for including each of these questions. How will this information help you to understand responses better or respond to feedback? Is it necessary to ask about ethnicity to make sure you are hearing from a particular minority? Asking fewer questions is better – unless you need to ensure representation or anticipate divergent opinions between groups, do not feel obligated to ask.

The following are examples of common demographic questions:

  • What is your gender/sex?
    • [Provide options: Male, Female, and a third, e.g., “Prefer not to say” or “Nonbinary”]

Note on inclusion: This question is necessary in public polling to ensure that the questionnaire is representative of the experiences and views of various genders. However, including a third option beyond the binary male and female can be contentious, especially in countries where being nonbinary or gender nonconforming is illegal or life-threatening. Some argue that the best way to resolve this issue is to simply ask, “What is your gender/sex?” and leave a blank for people to use their own words. Gallup, which conducts polling around the world, uses “Nonbinary” as a third option in its polling in the United States. In countries where gender is a sensitive topic, they recommend “Prefer not to say” because their research suggests respondents who do not identify as male or female may select this term. These recommendations emerge from recent research and only apply to instances where providing an open-ended response (which requires manual reading/coding) is too resource-intensive and time-consuming. In all cases, using “Other” as a third option is not recommended, as it further excludes and marginalizes diverse identities.

As mentioned above, the following questions are – in the event of a low sample size – likely useless for meaningful analysis of differences between groups because the sample is just too small. Instead, you can use these to see how well or how poorly your responses match the community’s demographics.

  • What age range do you fall within?
    • [Provide options: 18–29, 30–44, 45–54, 55–64, 65+]
  • What is your ethnicity? What is your race?

Note on inclusion: Race and ethnicity refer to different things. Race refers to characteristics a person is born with and may relate to skin color and other physical characteristics. Ethnicity is related to where a person comes from, their beliefs, customs and traditions.

Other:

  • Income
    • There are several different ways to ask this question. If you are using it for a representative sample, the second or third option may be most useful and easily compared to national statistics and census data.
      • Monthly disposable income after bills? (How much money do you have after paying rent, utilities and other fixed expenses?)
      • Monthly income after taxes? (i.e., What is your take-home pay before spending?)
      • Monthly/annual gross income? (i.e., What is your salary/wages?)
  • Do you rent or own your residence?
  • How long have you lived in [name of your community]?
    • A binary ranking may be most helpful here: More than five years, less than five years, e.g.
  • Do you have dependent children living in your household?
    • Yes, No
  • Are you employed?
    • Work full time, work part time, student, retired, caretaker of family/home, seeking work, unable to work (illness, disability)

Think ahead! Test your survey

The next section will deal more in depth with the analysis of survey results. However, you should consider this process when planning the kind of survey you will use and the distribution method.

As noted above, you should test your survey questionnaire’s design on a small group of individuals. Your testers can be a small group – at least four or five individuals – and can be people you have reasonably easy access to: colleagues in the municipal administration, your friends or family members. These individuals should have as much knowledge of the survey as the average respondent and should not have had a role in designing the survey. This way, they can give feedback from a fresh perspective. Consider asking your testers the following questions:

  • Was the survey too long?
  • Are the questions clear? Was it clear what was being asked?
  • Is anything important missing? Should information be added on how to return the survey, what the survey will be used for, etc.?
  • Are there any sensitivities or concerns the tester thinks should be accounted for? Should some questions not be asked or be asked differently?

Think ahead! Plan enumeration and scoring methods

Now that you have a final survey questionnaire, you should think about the data you will receive. Skip ahead to the following section, which discusses how to analyze feedback from the different survey questions. Understanding what your analysis might look like – and how it will (or will not) answer your team’s initial question – will help you answer the key question at the moment: Should I use a survey? If so, what kind?

What kind of data do I want to collect? Will learning this data be worth the effort (of your team and your respondents)?

  • Will I find that data meaningful? Meaningful data teaches you something or helps you to make a choice. Ideally, your data will help you and your team plan a local strategy – which issues to address first and some ideas about how to address them.
  • Will I be able to analyze that data quickly and efficiently? As mentioned above, open-ended questions can be more trouble than the value they provide. If you are concerned about time, resources and being able to respond effectively, use your surveys to collect quantitative data only.
  • Will I be able to act on my findings? Related to the idea that data is meaningful, your data should point toward concrete action, even if that concrete action is the need to learn more about one issue in particular.

To get started in answering these questions, gather your team around your draft survey, and imagine or guess what the results of 100 responses would be. If 70 percent of respondents pick an issue, what will that mean for your team? Will you have learned something new or just confirmed anecdotal evidence or assumptions?

  • More data: Would it be useful to know that 70 percent of respondents picked an issue, but also useful to know something else in addition, such as the gender or ages of the respondents? By useful, we mean that this data point would impact the action you would take. If that additional data would matter, you should add in a demographic question asking respondents to identify their gender.

Planning ahead by considering these questions, testing your survey questions and evaluating survey length BEFORE you issue the survey to the public will help you design an accessible survey that yields useful information. Planning ahead by considering these questions, testing your survey questions and evaluating survey length BEFORE you issue the survey to the public will help you design an accessible survey that yields useful information. 

Box. Additional resource for canvassing:

Many resources refer to canvassing in the context of a political or advocacy campaign and are often focused on organizing volunteers rather than elected officials. However, many of their lessons hold true for the canvassing process envisioned here. The following offers additional guidance on canvassing in the context of political campaigns: Tools Roundup Canvassing and Door Knocking, Blueprints for Change [Link].

Box. Questions for statistical purposes and to ensure accuracy and representativeness

In your questionnaire, you may want to add questions to learn more about the demographics of your respondents. Generally, this will be useful to know, overall, whether you reached a representative selection of the community; i.e., do the people in your responses look like the community? For example, did you reach equal numbers of men and women? Did only people older than 40 answer your survey? If voices are missing, consider supplementing the questionnaire with specific outreach to that group.

In addition, demographics can aid in your analysis, especially if you’d like to break down responses by particular groups. See Step 6 for more details. Note that your sample size needs to be sufficiently high enough for differences between groups to be meaningful. If your sample size is far from the maximum, differences in responses between men and women, for example, are more likely to be random or coincidence rather than a sign of actually different preferences between the groups.

Keep in mind you should have a clear reason for including each of these questions. How will this information help you to understand responses better or respond to feedback? Is it necessary to ask about ethnicity to make sure you are hearing from a particular minority? Asking fewer questions is better – unless you need to ensure representation or anticipate divergent opinions between groups, do not feel obligated to ask.

The following are examples of common demographic questions:

  • What is your gender/sex?
    • [Provide options: Male, Female, and a third, e.g., “Prefer not to say” or “Nonbinary”]

Note on inclusion: This question is necessary in public polling to ensure that the questionnaire is representative of the experiences and views of various genders. However, including a third option beyond the binary male and female can be contentious, especially in countries where being nonbinary or gender nonconforming is illegal or life-threatening. Some argue that the best way to resolve this issue is to simply ask, “What is your gender/sex?” and leave a blank for people to use their own words. Gallup, which conducts polling around the world, uses “Nonbinary” as a third option in its polling in the United States. In countries where gender is a sensitive topic, they recommend “Prefer not to say” because their research suggests respondents who do not identify as male or female may select this term. These recommendations emerge from recent research and only apply to instances where providing an open-ended response (which requires manual reading/coding) is too resource-intensive and time-consuming. In all cases, using “Other” as a third option is not recommended, as it further excludes and marginalizes diverse identities.

As mentioned above, the following questions are – in the event of a low sample size – likely useless for meaningful analysis of differences between groups because the sample is just too small. Instead, you can use these to see how well or how poorly your responses match the community’s demographics.

  • What age range do you fall within?
    • [Provide options: 18–29, 30–44, 45–54, 55–64, 65+]
  • What is your ethnicity? What is your race?

Note on inclusion: Race and ethnicity refer to different things. Race refers to characteristics a person is born with and may relate to skin color and other physical characteristics. Ethnicity is related to where a person comes from, their beliefs, customs and traditions.

Other:

  • Income
    • There are several different ways to ask this question. If you are using it for a representative sample, the second or third option may be most useful and easily compared to national statistics and census data.
      • Monthly disposable income after bills? (How much money do you have after paying rent, utilities and other fixed expenses?)
      • Monthly income after taxes? (i.e., What is your take-home pay before spending?)
      • Monthly/annual gross income? (i.e., What is your salary/wages?)
  • Do you rent or own your residence?
  • How long have you lived in [name of your community]?
    • A binary ranking may be most helpful here: More than five years, less than five years, e.g.
  • Do you have dependent children living in your household?
    • Yes, No
  • Are you employed?
    • Work full time, work part time, student, retired, caretaker of family/home, seeking work, unable to work (illness, disability)

Think ahead! Test your survey

The next section will deal more in depth with the analysis of survey results. However, you should consider this process when planning the kind of survey you will use and the distribution method.

As noted above, you should test your survey questionnaire’s design on a small group of individuals. Your testers can be a small group – at least four or five individuals – and can be people you have reasonably easy access to: colleagues in the municipal administration, your friends or family members. These individuals should have as much knowledge of the survey as the average respondent and should not have had a role in designing the survey. This way, they can give feedback from a fresh perspective. Consider asking your testers the following questions:

  • Was the survey too long?
  • Are the questions clear? Was it clear what was being asked?
  • Is anything important missing? Should information be added on how to return the survey, what the survey will be used for, etc.?
  • Are there any sensitivities or concerns the tester thinks should be accounted for? Should some questions not be asked or be asked differently?

Think ahead! Plan enumeration and scoring methods

Now that you have a final survey questionnaire, you should think about the data you will receive. Skip ahead to the following section, which discusses how to analyze feedback from the different survey questions. Understanding what your analysis might look like – and how it will (or will not) answer your team’s initial question – will help you answer the key question at the moment: Should I use a survey? If so, what kind?

What kind of data do I want to collect? Will learning this data be worth the effort (of your team and your respondents)?

  • Will I find that data meaningful? Meaningful data teaches you something or helps you to make a choice. Ideally, your data will help you and your team plan a local strategy – which issues to address first and some ideas about how to address them.
  • Will I be able to analyze that data quickly and efficiently? As mentioned above, open-ended questions can be more trouble than the value they provide. If you are concerned about time, resources and being able to respond effectively, use your surveys to collect quantitative data only.
  • Will I be able to act on my findings? Related to the idea that data is meaningful, your data should point toward concrete action, even if that concrete action is the need to learn more about one issue in particular.

To get started in answering these questions, gather your team around your draft survey, and imagine or guess what the results of 100 responses would be. If 70 percent of respondents pick an issue, what will that mean for your team? Will you have learned something new or just confirmed anecdotal evidence or assumptions?

  • More data: Would it be useful to know that 70 percent of respondents picked an issue, but also useful to know something else in addition, such as the gender or ages of the respondents? By useful, we mean that this data point would impact the action you would take. If that additional data would matter, you should add in a demographic question asking respondents to identify their gender.

Planning ahead by considering these questions, testing your survey questions and evaluating survey length BEFORE you issue the survey to the public will help you design an accessible survey that yields useful information. Planning ahead by considering these questions, testing your survey questions and evaluating survey length BEFORE you issue the survey to the public will help you design an accessible survey that yields useful information. 

Footnotes

1 Quote from interview with NDI program participant, 2024.

2 David Pilat and Daniel Sekoul, Choice Architecture (The Decision Lab, 2021), Link.

3 Piroska Bullen, How to Choose a Sample Size (for the Statistically Challenged) (Tools4dev, n.d.), Link.

4 Simple Random Sampling: Definition, Examples, and How to Do It (Qualtrics, n.d.), Link.

5 Adam Hayes, How Stratified Random Sampling Works, with Examples (Investopedia, 2024), Link.

6 “Sample Weights” in PISA Data Analysis Manual: SPSS, 2nd ed. (Paris: OECD Publishing, 2009), Link.

7 How Do Systematic Sampling and Cluster Sampling Differ? (Investopedia, 2023), Link.

8 Klaus Pforr and Jette Schröder, Why Panel Surveys, Version 2.0 (2016), Link.

9 Ashley Amaya, Nick Hatley, and Arnold Lau, Measuring the Risks of Panel Conditioning in Survey Research (Pew Research Center, 2021), Link.

10 Klaus Pforr and Jette Schröder, Why Panel Surveys, Version 2.0 (2016), Link.

11 These tips were adapted from training materials provided to political parties around the world.

12 How to Ask about Sexuality/Gender (Vanderbilt Student Affairs at Vanderbilt University, n.d.), Link.

13 Jenny Marlar, Asking Inclusive Questions about Gender: Phase 1 (Gallup, 2023), Link.

14 Nicky Agate, Guides: Creating Inclusive Surveys – Demographics (Penn Libraries, 2022), Link.