How to make an app · Step-by-step guide

How to validate an app idea
before you write any code

To validate an app idea without code, run 10–15 problem interviews about what people did the last time they faced the problem, check demand signals such as search interest and competitors' reviews, then test willingness to act with a landing page, a fake-door button or pre-sales — and deliver the service manually to a few customers. Set pass or fail numbers before you start.

By , FounderUpdated 5 min read

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Quick answer: How do I validate an app idea before building it?

  1. Interview — 10–15 people about past behaviour, not your idea.
  2. Check demand signals — search interest, competitors' reviews, communities complaining.
  3. Test action — landing page sign-ups, a fake-door button, or pre-orders.
  4. Deliver by hand — a concierge version for 3–5 customers.
  5. Decide — against pass/fail numbers you wrote down first.

Key takeaways

  • Opinions are cheap; behaviour is evidence. Ask what people did, not what they would do.
  • Competitors are good news — they prove demand. Their one-star reviews are your roadmap.
  • The strongest signal is money or time committed before the product exists.
  • Write the success criteria before you start, so you cannot move the goalposts.
  • Validation is not a one-off; it continues through MVP, launch and every major feature.

Every app idea feels obvious to the person who had it. That is the problem. The feeling of certainty arrives long before the evidence, and it is the reason so many products launch to silence. CB Insights consistently lists the lack of market need among the top reasons startups fail3. Validation is how you find out — cheaply, quickly and before writing code — whether you are right.

How do I validate an app idea before building it? At a glance: Interview; Check demand signals; Test action; Deliver by hand; Decide.
At a glance: How do I validate an app idea before building it?

The two-week validation sprint

A two-week plan to validate an app idea
DaysActivityOutput
1–2Write your assumptions and pass/fail criteriaA one-page validation plan
2–710–15 problem interviewsPatterns in real behaviour and pain
3–5Desk research: search interest, competitors, reviewsEvidence of demand and gaps
6–10Demand test: landing page, fake door or pre-salesConversion numbers
8–14Concierge: deliver the outcome by hand to 3–5 peopleProof the outcome is valuable

Step 1: write down what must be true

List your riskiest assumptions and the evidence that would prove each wrong:

Checklist: Step 1: write down what must be true — The problem is real and frequent; They are already trying to solve it; They will act; You can reach them.
Step 1: write down what must be true
  • The problem is real and frequent — at least 7 of 12 interviewees describe it happening monthly or more
  • They are already trying to solve it — they spend time or money on workarounds
  • They will act — 15% or more of landing-page visitors from the target audience sign up, or 5 people pre-pay
  • You can reach them — you know where they gather and can get in front of them

Writing the numbers first keeps you honest. It is remarkably easy to reinterpret weak results as encouraging.

Step 2: problem interviews that tell the truth

The single most useful idea here comes from Rob Fitzpatrick's The Mom Test: people lie to be nice about your idea, but they cannot lie about their past1. So ask about what they did, not what they would do.

Step 2: problem interviews that tell the truth: Ask; Avoid.
Step 2: problem interviews that tell the truth

Ask

"Tell me about the last time this happened." "What did you do?" "What did that cost you?" "What have you tried?" "What do you pay for today?"

Avoid

"Would you use an app that…?" "Do you think this is a good idea?" "How much would you pay?" These invite polite, useless answers.

Our list of 50 user interview questions has more, by situation.

Step 3: read the demand signals

  • Search interest — Google Trends shows whether people search for the problem and how that changes over time4.
  • Competitors — their existence proves demand. Read their one- and two-star app-store reviews: that is a free list of unmet needs.
  • Communities — Reddit threads, Facebook and WhatsApp groups, LinkedIn posts where your users complain.

Step 4: test whether people will act

Step 4: test whether people will act: Landing page; Fake door; Pre-sales.
Step 4: test whether people will act

Landing page

A one-page description of the outcome, with a sign-up or "join the waitlist" button. Drive a small, targeted audience to it and measure conversion.

Fake door

Add a button or plan for the feature inside an existing product or page; count clicks, then show an honest "coming soon" note.

Pre-sales

Offer early access at a price. Nothing validates like money. Dropbox famously used a demo video to fill its waiting list before the product was ready5.

Step 5: deliver it by hand

Before building software, deliver the outcome manually to three to five customers — a "concierge MVP". If you are building a meal-planning app, plan their meals over WhatsApp for two weeks. You will learn what they truly value, what they ignore, and whether they come back — all before writing code. Eric Ries's idea of the MVP is exactly this: the most validated learning for the least effort2.

Step 6: decide

Common validation mistakes

Common validation mistakes: Asking friends; Pitching instead of listening; Counting compliments; Testing on the wrong audience.
Common validation mistakes

Asking friends

They love you. They are not your market.

Pitching instead of listening

If you talk more than a third of the interview, you learned less than you could have.

Counting compliments

"Great idea!" is not data. Commitments are.

Testing on the wrong audience

A thousand sign-ups from the wrong people prove nothing.

Key terms, defined

Validation — gathering evidence that a problem is real and people will act to solve it. Problem interview — a conversation about someone's past experience with a problem. Fake-door test — measuring clicks on a feature that does not exist yet. Concierge MVP — delivering the service manually before automating it. Pre-sale — payment before the product exists.

Frequently asked questions

How do I validate an app idea for free?

Interview 10–15 people who have the problem, read competitors' app-store reviews and community threads, check search interest with free tools such as Google Trends, and put up a simple landing page to measure sign-ups. Deliver the service manually to a few customers before building anything.

What questions should I ask in customer interviews?

Ask about specific past behaviour: when the problem last happened, what they did, what it cost them, what they have tried, and what they pay for today. Avoid asking whether they like your idea or would use it — people are polite and bad at predicting their own behaviour.

What is a fake-door test?

A fake-door test shows users a feature or product that does not exist yet — a button, a pricing option or a sign-up page — and measures how many try to use it. Those who click see an honest message that it is coming soon. It measures real intent cheaply.

How many people should I talk to to validate an idea?

Ten to fifteen good problem interviews usually reveal the main patterns. Keep going until answers repeat. For demand tests, decide in advance what conversion rate or number of pre-orders would count as a pass.

What if someone has already built my app idea?

That usually confirms demand. Study their reviews and pricing, find the users they serve badly, and decide whether you can do something clearly better for a specific group. Truly empty markets are rare and often empty for a reason.

Do I need an NDA to share my app idea?

Usually not. Ideas are rarely the scarce part — execution is — and most people you interview will not sign one. Share the problem openly to learn; protect code, data and brand through contracts and trademarks later.

Sources

  1. Rob Fitzpatrick — The Mom Test
  2. Eric Ries, Startup Lessons Learned — Minimum viable product: a guide (2009)
  3. CB Insights — Why startups fail: top reasons
  4. Google Trends
  5. TechCrunch — How Dropbox started as a minimal viable product (2011)
  6. Checked October 23, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
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