Build in Public
Founder Feedback Polls: How to Report What You Learned
Report a build-in-public poll with clear counts, participant limits, and a useful next test. A worked example separates founder preferences from market…
By Uriel Bitton · · 10 min read

The short answer
Report founder feedback polls with the exact question and options, recruitment context, vote counts, known participant limits, narrow interpretation, and next action. Voluntary community votes describe those responses under that wording; they do not by themselves establish customer demand. Keep the result connected to later product testing.
Report a founder feedback poll by publishing the question, answer options, vote counts, recruitment context, and limits together. Explain what the result suggests and what you will test next. A voluntary community poll records choices made by its participants under that wording; it does not, by itself, establish customer demand.
That distinction matters when you build in public. A result update becomes part of your product’s history. Future readers may encounter the confident summary without seeing the original question, the small count, or the discussion that complicated it. Keep those pieces connected from the beginning.
You can still make a useful decision from a modest poll. The goal is to state a decision whose size matches the evidence. Choosing what to investigate next may be reasonable even when announcing that the market has chosen your roadmap would be premature.
Judge a feedback platform by the conversation it preserves
When comparing build-in-public platforms with founder feedback, look for a way to keep the product context, question, responses, and follow-up connected. A voting feature gives readers a quick action. Written replies can reveal what they thought the choices meant and why their circumstances differ.
Buildside publishes this Journal. Its community polls feature lets founders add a poll to a post and discuss the reasons behind responses. That is a documented capability, not evidence that every poll attracts relevant customers or produces reliable market estimates. This guide offers a reporting method rather than an independent product review.
For the broader platform decision, use the build-in-public platform comparison. If your immediate need is a usability session, technical review, or founder operating advice, the feedback community guide separates those jobs. The method below applies after you have chosen a community poll as the right first step.
Save the question before summarizing its answer
Record the exact question, options, surrounding explanation, and result time. Include the relevant screenshot or prototype version if people needed one to answer. A summary such as “people want simpler onboarding” is hard to assess without knowing whether the poll asked about labels, screen count, setup effort, or something else.
Pew Research Center’s guidance on writing survey questions explains that wording and response choices can affect answers. It also advises asking one concept at a time. For a founder poll, ask about a single decision and give the options comparable descriptions before collecting responses.
Avoid giving your preferred choice a flattering explanation while describing the alternative by its drawback. “A clear dashboard” versus “more emails” changes more than the format being compared. Put equivalent information beside each option, and provide a way to express uncertainty when that is a meaningful answer.
If you discover a flaw after the poll starts, preserve the original question in your record. Explain the correction and treat a replacement poll as a new observation. Quietly rewriting the wording makes the displayed votes difficult to interpret.
Keep votes, replies, and relevant users separate
Report each number using the unit you can actually verify. A displayed vote total is a count of recorded votes. A set of written replies is a different collection of contributions. Neither automatically tells you how many target customers participated, whether the groups overlap, or whether everyone understood the task.
AAPOR’s survey best practices distinguish probability sampling from opt-in recruitment through social media or personal networks. A founder post that people choose to answer belongs in that latter context. Publishing it in a relevant community does not give every potential customer a known chance of selection.
Record where you shared the poll and any eligibility request you made. If you asked only experienced project managers to answer, explain how that condition was checked. A sentence in a post inviting certain people is a request, not proof that every voter met it.
When voter roles are unknown, write that plainly. You can separately describe relevant experiences volunteered in the comments, while keeping those observations separate from anonymous totals. Do not assign the whole vote count to a customer segment based on the profiles of a few visible commenters.
A fictional 18-vote poll shows how claims can drift
Imagine a fictional SaaS founder building a revision-management tool for freelance photographers. The founder posts a mockup and asks: “When reviewing a client’s requested revisions, which format would you prefer to open first?” The options are a shared review page, an email summary, and no preference. All product details and numbers in this example are invented for illustration.
Suppose the displayed result at the chosen cutoff is:
Option | Recorded votes |
|---|---|
Shared review page | 12 |
Email summary | 4 |
No preference | 2 |
Total | 18 |
The supported arithmetic is 12 out of 18, or about 67%, for the shared review page. That describes the recorded votes. It does not mean 67% of freelance photographers want the feature. The founder has not established the voters’ occupations, their recent client work, or their willingness to change tools.
Dropping the two no-preference votes produces 12 out of 16, or 75%. That answers a different question: the share choosing the page among votes expressing a preference between those two formats. If you show that figure, explain the exclusion and keep the full totals visible. For a small public update, the original counts are usually clearer.
Now suppose three replies discuss notification overload, while another asks whether a client must create an account. Those comments suggest questions to investigate. They do not identify which option the commenters selected unless the commenters say so, and they do not establish how the remaining voters reasoned.
The proportionate next move is to inspect the review workflow with relevant photographers. Declaring the shared-page feature validated would skip the difference between liking an option in a post and using it during a real job.
Publish a result note readers can inspect
Use six pieces in the follow-up post. Together they preserve enough information to understand the result without turning every update into a research report:
Question: reproduce the wording and options, with a link to the original post or artifact.
Setting: state where and when the poll ran, who was invited, and how participation worked.
Counts: show the total and the count for every option, including uncertain or neutral choices.
Limits: identify what you know about participant fit and what remains unknown.
Interpretation: describe the narrow signal, including relevant reasons raised in replies.
Next action: state the decision or test, its purpose, and what remains undecided.
For the fictional example, a complete short update could read:
In our voluntary founder-community poll, the 18 recorded votes were 12 for a shared review page, 4 for an email summary, and 2 for no preference. The poll asked which format people would prefer to open first when reviewing client revisions. We have not verified whether the voters work as freelance photographers. Replies raised notification burden and client account requirements. We will test a shared-page prototype with photographers who recently handled revisions, while keeping email in consideration. These votes do not establish demand or willingness to pay.
This example is a proposed reporting format, not an observed finding. Its useful feature is that the action follows from a limited signal without enlarging that signal into a claim about an entire market.
Turn the preference into a question a user can answer
Choose the next method around the remaining uncertainty. If you need to understand current work, ask a relevant person to describe a recent revision round. If you need to know whether the prototype is usable, ask them to attempt a realistic task with safe example material. If the concern is buying, investigate the purchasing decision separately.
The GOV.UK guide to finding research participants recommends recruiting actual or likely users and defining criteria relevant to the research question. Applied here, a founder title alone is insufficient. Look for people who recently performed the photography workflow and can explain its constraints.
Someone may be both a founder peer and a target user. Record that overlap when it is relevant. The issue is the connection between the person and the job being examined, rather than whether the reply came from a founder community.
Explain the test you intend to run before inviting participation, and ask permission before recording or publishing someone’s contribution. Publicly reporting the decision does not require publishing their name, client work, or private account details.
Explain a quiet poll without inventing an audience
When few people answer, report the count and leave the cause open. A quiet poll could reflect timing, limited distribution, an unclear question, weak relevance, or reluctance to respond. The vote count alone cannot distinguish those explanations. Avoid calling silence proof that nobody needs the product.
Be equally careful with a response-rate claim. You need a defined eligible group and records supporting the denominator. A post-view counter may describe a different unit from individual invitations. If you do not know how many eligible people had an opportunity to answer, report the available counts separately instead of presenting their ratio as a research response rate.
If you share the poll into another community to seek more relevant responses, note the new distribution and its timing. The later total combines the resulting participation. Unless the tool and your records support separating those groups, do not publish a comparison between them.
A useful update can acknowledge that the poll produced too little context to guide a choice. You can then ask a smaller group about a recent task or revise the question for a new round. Recording an inconclusive attempt gives future readers a more accurate account of your work.
Keep uncertainty beside the result
A percentage can look more precise than the underlying process. In the fictional 18-vote example, one recorded vote represents about 5.6 percentage points of the total. A few different participants could visibly change the displayed split. More votes from the same self-selected audience still do not automatically resolve a mismatch with the intended customer.
AAPOR cautions against conventional sampling-error claims for opt-in polls. Avoid attaching a standard margin of error to a casual community vote. Reporting the counts, recruitment method, and unknowns is more useful than adding a confidence label you have not justified.
You can thank participants and explain that their reasons changed your next question. That is a concrete contribution. Keep claims about easier onboarding, increased retention, or stronger demand for the point when you have evidence that actually addresses those outcomes.
Return with what the next test changed
Link the eventual test update to the original poll and result note. Say what the poll suggested, what you later observed, and what decision followed. If the later evidence points elsewhere, explain which assumption changed. You do not need to make the original winning option look successful.
Treat another poll as a new observation when the wording, audience, artifact, or distribution changes. A different vote split may reflect those changes rather than a market trend. Preserve both records so readers can see the conditions instead of presenting incomparable percentages as a growth chart.
For your next public poll, draft the result note before asking the question. If you cannot name the participant group, the uncertainty, and a useful next step, narrow the question first. Give future readers a decision they can follow back to its evidence.
Common questions
Can a founder community poll validate my SaaS idea?
A voluntary poll can surface preferences and reasons to investigate. It does not by itself establish the intended customer’s need, observed product use, or willingness to pay. Choose follow-up evidence around the specific uncertainty.
Should I publish percentages or vote counts?
Keep counts and the total visible. If you add percentages, state the denominator and any exclusions. With small totals, rounded percentages are usually easier to interpret than several decimal places.
What if I cannot identify who voted?
Report that participant roles are unknown. Discuss any volunteered commenter context separately, and avoid assigning anonymous totals to customer segments without evidence.
Sources
Frequently asked questions
Can a founder community poll validate my SaaS idea?
A voluntary poll can surface preferences and reasons to investigate. It does not by itself establish the intended customer’s need, observed product use, or willingness to pay. Choose follow-up evidence around the specific uncertainty.
Should I publish percentages or vote counts?
Keep counts and the total visible. If you add percentages, state the denominator and any exclusions. With small totals, rounded percentages are usually easier to interpret than several decimal places.
What if I cannot identify who voted?
Report that participant roles are unknown. Discuss any volunteered commenter context separately, and avoid assigning anonymous totals to customer segments without evidence.
A note from Uriel Bitton
Buildside publishes this Journal and provides community polls. The numerical example is fictional and illustrates a reporting method, not observed customer research or measured outcomes.
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