Open Survey Questions: 25 Examples for Idea Validation

Open survey questions are questions that people answer in their own words instead of picking from a list. “Tell me about the last time you booked a vet appointment” is open. “How often do you book vet appointments: weekly, monthly, yearly?” is closed.

For a founder with an idea and no product yet, open questions are the most useful kind. You don’t know the answer options, so you can’t offer them. This guide gives you 25 copy-ready questions tied to the decision each one informs, rules for writing them, and a manual way to turn 20 raw answers into product decisions.

If you need the wider process first, start with the 7-step market research guide. Otherwise, read on and build your survey today.

What are open survey questions?

An open survey question (also called an open-ended question) has no preset answers. The respondent types whatever they want. You get their wording, their examples and their reasons, including ones you never thought to ask about.

Open answers are qualitative by nature. But that doesn’t make them uncountable. Once you read the answers and tag them with codes, you can count how many people mentioned each theme. That gives you numbers built from real language rather than from options you guessed in advance.

Advantages and disadvantages

• Advantage: depth. You learn why, not just what.
• Advantage: own-words language. The phrases people use become your landing page copy and search terms.
• Advantage: surprises. You find problems you didn’t know to ask about.
• Disadvantage: effort. Typing is work, so completion drops when there are too many open boxes.
• Disadvantage: slow analysis. Every answer has to be read and coded.
• Disadvantage: vague answers. Broad questions get answers like “it’s fine” or “be better.”

When open questions beat closed ones (and when they don’t)

Use open questions when you don’t yet know the answer options. That describes most early ideas. If you ask a pet owner to choose their biggest frustration from a list you invented, you only learn which of your guesses is least wrong.

Use closed questions once you know the themes and want to size or compare them. A good sequence is open first with a small group, then closed with a bigger one. This fits into the broader work of how you validate your startup idea before you build.

Survey or interview?

A survey is the wrong tool in some cases. Skip it and talk to people when:

• The problem is emotional, complicated or hard to describe in a text box.
• You can only reach a handful of people. Ten interviews beat ten survey responses.
• You need to ask “why?” three times in a row. A survey can’t chase an answer.
• Your audience doesn’t like writing, such as busy clinic managers or tradespeople.

Surveys win when you can reach 30 or more people cheaply and want comparable answers to the same questions. Many founders do both: a short survey to find who’s worth a 20-minute call.

How to write a good open-ended question

Four rules cover most of it.

• Ask about the past, not the future. People are poor at predicting what they’ll do. They’re decent at describing what they did last week.
• Stay neutral. Don’t pitch your idea inside the question.
• One topic per question. “How do you book and pay for walks?” is two questions.
• Be specific enough to get a concrete answer. “Tell me about the last time…” beats “What do you think about…”

Before and after rewrites

25 open survey questions for idea validation

Each group below maps to a stage of validation and names the decision the answers inform. Pick 3 to 5 for one survey, not all 25.

Problem (decision: which problem to lead with)

• Tell me about the last time you struggled with [task]. What happened?
• What is the most frustrating part of [task]?
• What did that problem cost you in time, money or stress?
• When does this problem come up most often?
• What happens if you do nothing about it?

Current workaround (decision: what you’re competing with)

• How do you handle [task] today?
• What tools, apps or people do you use for it?
• What do you like about your current approach?
• What do you dislike about it?
• When did you last change how you do this, and why?

Cost and urgency (decision: willingness to pay and priority)

• What have you tried or paid for to solve this?
• What made you stop using it, if you did?
• How much time per week does this take you?
• Who else is involved in solving this, and who decides what to spend?
• What would have to be true for you to switch to something new?

Language and expectations (decision: messaging and onboarding)

• How would you describe this problem to a colleague?
• What words would you type into Google to find a fix?
• What does a good result look like for you?
• What would worry you about trying a new tool for this?
• What would you expect to happen in the first five minutes?

Short open-ended questions for the last page

These are quick, low-effort catch-alls. Put one or two at the end and make them optional.

• Is there anything else you’d like us to know?
• What’s one thing we should have asked?
• If you could change one thing about how you do this today, what would it be?
• What’s the biggest obstacle you face with [task]?
• Can we contact you for a 15-minute follow-up? If so, leave your email.

How many open questions should a survey have?

For a short survey, 3 to 5 open questions is a sound rule of thumb. Place them after the easy closed questions, so people are already invested. Make most of them optional, and keep one or two required only if they screen the right respondents.

Sample survey flow

• Screener (closed): Do you do [task] at least once a month?
• Context (closed): role, team size, how often.
• Open 1 (required): Tell me about the last time you struggled with [task].
• Open 2: How do you handle it today?
• Closed: rate how painful the current approach is, 1 to 5.
• Open 3: What have you tried or paid for to solve this?
• Open 4 (optional): Anything else we should know?
• Contact (optional): email for a follow-up call.

Probing and follow-up questions

In a survey, you can’t probe live, but you can build follow-ups in. Show a second box only when the first answer calls for it, for example: “You mentioned a spreadsheet. What’s the hardest part of keeping it up to date?” Short prompts like “Can you give an example?” also help. For anyone who agrees to a call, ask the probing questions out loud.

How to analyze open-ended responses without special software

With 15 to 50 responses, a spreadsheet is enough. You don’t need text analytics tools.

• Step 1: Collect. Put everything in one sheet, one row per respondent, one column per question.
• Step 2: Read and tag. Read all answers once without coding. Then go through again and add 1 to 3 short codes per answer, such as “double-booking” or “no-shows.”
• Step 3: Group and count. Merge similar codes into themes. Count how many respondents mention each, not how many times.
• Step 4: Pull quotes. Save 2 or 3 verbatim quotes per theme. They’re your evidence and your copy.
• Step 5 (optional): Use AI for a first draft. Ask it to suggest codes, then check every one against the raw answers. Treat it as a fast assistant, not an analyst.

Simple coding table

Worked example: from 20 answers to product decisions

Imagine a pet-walking marketplace idea. You send a short survey to 20 dog owners in one city. Your open question: “Tell me about the last time you needed someone to walk your dog. What did you do?”

After reading and coding, the themes look like this (hypothetical numbers):

Decisions from the themes

• Lead problem: trust, not price. Your landing page should talk about vetted, reviewed walkers.
• Version one features: walker profiles with reviews, a request flow that pings several walkers at once, and a simple confirmation. The themes also help you decide what goes into version one and what waits.
• Journey steps that matter: finding a walker, requesting a same-day walk, confirming arrival.
• Cut for now: photo updates and in-app payment extras. Two people mentioned photos, and nobody asked for payment features.

Counts of 12, 9 and 7 out of 20 are a pattern. Counts of 2 and 3 are a note for later, not a roadmap.

Turn survey insights into a product plan

Survey answers only matter if they change what you build. Map each theme to a feature, then each feature to MVP scope and a step in the user journey. When you map user journeys before you code, the themes tell you which steps carry the most pain.

In TwoSprint, you can bring those findings into the research stage of a product plan and carry them through features, journeys, screen flows and tasks. So “12 of 20 want trusted walkers” ends up as a profile-and-reviews feature, a journey step and a task, not a forgotten slide.

Checklist

• Before sending: each question tied to a decision; no pitch in the wording; 3 to 5 open questions; most optional; screener included.
• After collecting: one sheet; read once, then code; themes counted by respondent; 2 to 3 quotes per theme; one-line decision per theme.
• Before building: top themes mapped to features; low-count themes parked; MVP scope written down; follow-up calls booked with the strongest respondents.

Common mistakes to avoid

• Leading questions about your own idea. If your question contains the solution, the answer will agree with it.
• Too many open boxes. Five is plenty. Past that, people quit or write “n/a.”
• Sampling friends and family. They’re kind, not representative. Define a real target segment and survey people in it.
• Treating three loud answers as a pattern. Count by respondent and wait until a theme shows up repeatedly.
• Asking about the future. “Would you pay?” gets a polite yes. “What have you paid for?” gets the truth.

Doing this with TwoSprint

Once you’ve coded your answers, the next step is deciding what to do with them. If you want a path from findings to features, scope and journeys, see how to turn a raw idea into a product plan. TwoSprint is built for that step, so your research doesn’t sit in a spreadsheet while you start building from memory.