Market Research Template: A 90-Minute Validation Sprint

Most market research templates are designed for corporate strategy teams with six weeks and a research budget. You have a business idea, a laptop, and a weekend. You don't need a 40-page framework. You need a market research template built for the pace of early-stage founding.

This one takes 90 minutes. That's it.

By the end, you'll have written down your core assumptions, estimated your market size, profiled your three closest competitors, drafted your customer discovery questions, identified secondary data sources, and built a clear decision rule about whether to proceed, pivot, or stop. That's what real market research looks like at the idea stage, and it's exactly what investors and mentors want to see before you've spent a dollar.

What a good market research template actually does

A template isn't a homework assignment. It's a forcing function. The act of filling in each section makes you commit your assumptions to writing, where you can actually pressure-test them.

Founders who skip this step tend to fall in love with their idea before they've talked to anyone outside their friend group. They confuse encouragement with validation. The template fights that instinct by demanding specifics: Who exactly is the customer? What are they currently paying? What do they say in their own words about the problem?

When the template is done, you should have a document that either excites you more or honestly challenges your assumptions. Both outcomes are wins. The only failure is staying vague.

The 90-minute market research template

Work through each section in order. Set a timer per section and move on when time is up. Brevity is the point.

Section 1: Your hypothesis (10 minutes)

Write one short sentence for each of these four prompts:

• The problem: What specific frustration, friction, or gap does your idea address?
• The audience: Who experiences this problem most acutely? Be specific (not "small businesses," but "freelance graphic designers billing under $5K/month").
• Your solution: What does your product or service do, in plain language?
• What you'd kill for: What single data point, if true, would make you quit your job and go all-in on this?

That last prompt matters. It forces you to name what you're actually betting on. If you can't answer it, your hypothesis isn't ready yet.

Section 2: Market size estimate (15 minutes)

Run two quick calculations, then compare them.

Top-down: Find a credible industry report number (even a rough one). Calculate what share of that market you could realistically capture in three years if things go well. Be conservative.

Bottom-up: Count the units. If you're targeting freelance designers, estimate how many there are in your launch geography, what percentage have the problem, what you'd charge, and what a reasonable conversion rate looks like. Multiply it out.

If your top-down and bottom-up numbers are within the same order of magnitude, your thinking is probably sound. If they're wildly different, one of your assumptions is off. Find it.

Free federal data sources cover most of what you need for demographic and industry estimates, including Census data and Bureau of Labor Statistics breakdowns by occupation and sector.

Section 3: Three closest competitors (20 minutes)

Pick three. Not the biggest players in a vaguely related space, but the three products or services a potential customer would try before yours. Look up:

• What they offer and what they charge
• What their reviews actually say (use G2, Capterra, or App Store reviews for direct quotes)
• What's obviously missing or consistently criticized

A real competitor analysis doesn't ask "are we better?" It asks "what job are customers hiring this for, and where do they feel let down?" That gap is your positioning.

Section 4: Five customer discovery questions (20 minutes)

Write five open-ended questions for real conversations with potential customers. These are not survey questions. They're prompts for 20-minute live calls.

Rob Fitzpatrick's framework from The Mom Test is the right baseline here: ask about their life and past behavior, not their opinions about your idea. Bad question: "Would you use an app that did X?" Good question: "Walk me through the last time you dealt with this problem. What did you do?"

Your five questions should surface:

1. Whether the problem is real and recurring (not just theoretical)
2. What they're currently using to solve it
3. What it costs them (in time, money, or stress) when it goes wrong
4. What a solution would have to do to be worth switching for
5. Who else in their organization or network has this problem

Section 5: Three secondary data sources (15 minutes)

Name three places you'll go to verify your assumptions with existing data. These aren't links you Googled once. They're sources you'll actually read before committing further.

Good candidates: relevant subreddits where your target customer vents, a Google Trends chart showing whether search interest is growing or flat, an industry association report, a competitor's public pricing page, or a recent product review thread. Write down what you're looking for in each source and what you'd need to find to feel more confident.

The goal isn't to find data that confirms what you already think. It's to find data that could change your mind.

Section 6: Your decision rule (10 minutes)

Write it down before you start talking to customers, not after. This is the most important section because it protects you from rationalizing mixed signals.

Format: "After completing [X interviews / Y hours of research], I will proceed if [specific condition]. I will pivot if [specific condition]. I will stop if [specific condition]."

For example: "After 8 customer discovery calls, I will proceed if at least 5 describe the problem unprompted and at least 3 say they've tried to solve it and failed. I will pivot if the problem is real but my proposed solution doesn't fit how they actually work. I will stop if fewer than 3 call this a recurring pain point."

Specific thresholds feel arbitrary until you need them. When you're three calls in and the feedback is mixed, your pre-written decision rule is the only thing standing between you and confirmation bias.

A worked example: AI-powered tax prep for freelancers

Here's how a founder would fill this template for a hypothetical product that helps freelancers file taxes using AI, without hiring an accountant.

Section 1: Problem is quarterly estimated tax confusion and year-end scramble. Audience is US-based freelancers earning $30K-$150K annually with variable income. Solution is an AI tool that tracks deductions in real-time and generates a pre-filled return. What they'd kill for: proof that at least 30% of freelancers in this range currently pay $300+ for tax prep services they find stressful.

Section 2: Top-down, the US tax preparation market is substantial, with tens of millions of self-employed filers. Bottom-up, the IRS reported roughly 27 million self-employment returns filed in a recent tax year. Targeting the segment that earns $30K-$150K and pays for professional prep gives a realistic addressable base.

Section 3: Competitors are TurboTax Self-Employed, QuickBooks Solopreneur, and Keeper Tax. Reviews on Keeper Tax mention that users love automated expense scanning but want better real-time guidance during the year, not just at filing time. That's a gap.

Section 4: Discovery questions include "Walk me through how you handled taxes last year from start to finish" and "What was the most stressful part, and what did you do about it?"

Section 5: Secondary sources are r/freelance and r/tax subreddits for unprompted complaints, Google Trends for "freelancer tax help" over 5 years, and IRS Statistics of Income data on self-employment.

Section 6: After 10 calls, proceed if 7 describe mid-year confusion as a recurring frustration and 5 say they'd pay for a product that handles it. Pivot if the pain is real but concentrated at tax season only. Stop if they're satisfied with their current CPA relationship.

How AI accelerates this template

Running this sprint manually takes 90 minutes. Running it with AI support compresses the research sections significantly. Market size calculations that require hunting across three sources can surface in minutes. Competitor positioning can be summarized from review data before you've finished your coffee.

EntraWorld's market research tools let founders work through exactly this kind of structured analysis using AI assistance, generating market size estimates, surfacing competitor insights, and drafting discovery question sets inside a guided workflow. It's the difference between staring at a blank template and actually building the thing.

For founders who are still figuring out which idea to take to this sprint, the business ideas worth pursuing guide covers how to evaluate opportunities before you invest even 90 minutes. And once your research validates the direction, the business plan template is the natural next step to formalize what you've learned.

The 90-minute window is real. Most founders either spend weeks on research they don't need, or they skip it entirely and build something nobody wants. This template is designed for the middle path: enough rigor to surface the real signals, fast enough to keep your momentum.

Join EntraWorld free and run your first market research sprint with AI tools built for exactly this stage.