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Create your survey

Create your survey

How to create citizen survey about tax fairness perception

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Adam Sabla

·

Aug 22, 2025

Create your survey

This article will guide you on how to create a citizen survey about tax fairness perception. With Specific, you can build a tailored survey in seconds—just generate the survey and start gathering insights right away.

Steps to create a survey for citizens about tax fairness perception

If you want to save time, just click this link to generate a survey with Specific—it’s almost effortless with modern AI survey tools like Specific.

  1. Tell what survey you want.

  2. Done.

Honestly, you really don’t need to read much further if you just want a working survey. AI will create the survey for you using expert knowledge, covering core aspects of tax fairness and even asking respondents smart follow-up questions to extract deeper insights. Everything is ready in seconds, so you can focus on high-quality responses instead of building forms from scratch.

Why surveys on tax fairness perception matter

We see massive value in running these types of citizen surveys. The truth is, if you’re not capturing how people perceive tax fairness, you’re likely missing out on a goldmine of insights—insights that go far beyond surface-level feedback and into what really impacts trust in government and voluntary tax compliance.

Consider this: as the strength of social norms in favor of tax compliance increases, personal norms also increase, leading to a subsequent increase in compliance intentions [1]. If you aren’t measuring these perceptions directly, you’re only guessing at what drives attitudes and behaviors—and you may miss opportunities to address concerns and enhance public trust.

  • Understand citizens’ real attitudes toward your tax system

  • Spot barriers to compliance and see what’s working (or not)

  • Gather qualitative feedback that you’ll never get from aggregate stats alone

The importance of citizen recognition surveys and the benefits of citizen feedback cannot be overstated. These surveys help you get clarity on fairness, uncover pain points, and show citizens their input matters—giving policymakers the data they need to drive effective reforms. Don’t settle for assumptions: run the right surveys, and you’ll always have a clear sense of public sentiment about your tax system.

What makes a good survey on tax fairness perception

Not every survey gets it right—especially when it comes to a complex, sensitive topic like tax fairness perception. We believe a well-designed survey always prioritizes:

  • Clear, unbiased questions that don’t nudge or confuse respondents

  • Conversational tone to make participation feel real and approachable, not formal or intimidating

It’s all about getting honest, thoughtful input. The best surveys measure success by both the quantity and quality of responses. If you ask tired, leading, or confusing questions, you end up with lots of drop-offs or unreliable data. If your survey feels like a conversation rather than a bureaucracy, you unlock real insights.

Bad Practices

Good Practices

Loaded questions (“Don’t you agree taxes are unfair?”)

Open, neutral wording (“How fair do you feel the current tax system is?”)

Long, jargon-filled sentences

Simple, conversational questions

Single select with too few choices

Allow nuance (multiple choice + “other” option)

In short: keep it simple, objective, and approachable. That’s what gets the most meaningful data from citizens.

Types of questions for a citizen survey about tax fairness perception

The structure of your questions is crucial for getting actionable, honest answers. Cover a range of question types—each has its strengths for exploring tax fairness perception among citizens.

Open-ended questions let people express what’s really on their minds. These are best for exploring deeper motivations behind opinions on the tax system, as well as for surfacing the language citizens use about fairness. Use them when you want detail or nuance. For example:

  • “What does a fair tax system mean to you?”

  • “Can you describe an experience where you felt the tax system was (un)fair?”


Single-select multiple-choice questions help you quickly quantify attitudes and identify key issues. These reduce ambiguity and are ideal when you want structured data. For example:

How fair do you consider the current tax system in our country?

  • Very fair

  • Somewhat fair

  • Neither fair nor unfair

  • Somewhat unfair

  • Very unfair


NPS (Net Promoter Score) question types measure citizens’ likelihood of recommending the tax system to others. These can reveal overall sentiment and loyalty—which correlates with trust and voluntary compliance. If you want a quick way to measure sentiment, use an NPS question (or generate an NPS survey for citizens). For example:

How likely are you to recommend our tax system as fair and trustworthy to a friend or family member, on a scale from 0 (not at all likely) to 10 (extremely likely)?


Followup questions to uncover "the why". Use followup questions when a response is ambiguous, surprising, or when you want to understand the reasoning behind a particular sentiment. These followups help you get to the story, not just the score. For example:

  • “You mentioned the tax system feels unfair. Can you share a specific example or what led you to that conclusion?”

  • “What would make you more likely to view the tax system as fair?”


If you want to see more inspiration for structuring your questions, as well as tips for creating great questions for citizens about tax fairness perception, check out our list of best survey questions.

What is a conversational survey?

Let’s break down what truly sets a conversational survey apart—for both the creator and the respondent. Conversational surveys flow naturally, feel like chat, and adapt in real time. This isn’t just a matter of style: it means people are far more willing to share, to go beyond a yes/no, and to finish the survey. That’s why AI survey generation is a real game-changer—compared to manual survey building, you get:

Manual Survey Creation

AI-generated Survey with Specific

Manual setup, lots of time investment

Instant, by describing your needs in natural language

Rigid forms, no smart followups

Conversational, AI-driven followups for context

Boring for respondents = low completion rates

Feels like chat, boosts engagement and honest answers

Why use AI for citizen surveys? Quite simply: you get better quality data, higher completion rates, and richer contextual responses. AI survey examples make it obvious how fast you can go from an idea to actionable insights. With Specific, you enjoy a smooth, engaging feedback process, whether you’re building or answering the survey.

Want to go deeper into the process? Read our guide on how to create a citizen survey about tax fairness perception for more hands-on walkthroughs and best practices.

The power of follow-up questions

We can’t stress this enough: automating smart follow-up questions is a game changer. With automated AI followup questions, you get context that you’d otherwise have to chase down by email (or just miss entirely). Surveys become conversations where every answer, even if vague, is met with curiosity and a nudge for specifics.

  • Citizen: "I don’t trust the way taxes are used."

  • AI follow-up: "What are the main reasons you feel the use of taxes isn’t transparent or effective? Can you give an example?"

How many followups to ask? You usually need 2-3 followup questions max. Anything more can feel repetitive; anything less might miss vital context. With Specific, you can tweak the followup settings and let respondents skip ahead when the point is clear.

This makes it a conversational survey: questions build on each other, like an interviewer who really listens—not just checks boxes.

AI survey analysis, make sense of every response: Even if you’ve collected tons of qualitative feedback, AI makes analysis a breeze. Learn more about analyzing unstructured answers in our guide on AI survey response analysis.

Automated followup questions are a breakthrough—try generating a citizen survey on tax fairness perception and see how much richer and more actionable your insights become.

See this tax fairness perception survey example now

Get insights fast—see how a conversational survey with AI followups drives better answers and real understanding. Start now to create your own survey and unlock data you can act on.

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Sources

  1. Advances in Accounting. Social norms, personal norms and tax compliance.

  2. OECD. Tax Morale: What Drives People and Businesses to Pay Tax?

  3. International Journal of Economics and Finance Studies. Structure, Efficiency, and Perceptions of Fairness in Tax Systems

Adam Sabla - Image Avatar

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.

Adam Sabla

Adam Sabla is an entrepreneur with experience building startups that serve over 1M customers, including Disney, Netflix, and BBC, with a strong passion for automation.