AI-Powered Market Research Toolkit

30 Actionable Market Research Prompts You Can Actually Use

Use AI to move from scattered market information to clearer insights, better questions, and smarter marketing decisions.

DefineUnderstandCompareDiscoverValidateDecide
30Practical Prompts
6Research Phases
1Repeatable Workflow

Why These Prompts Matter

AI can summarize market research in seconds. That's not the hard part.

The hard part is figuring out what you actually need to learn, where to look, what the information means, and what decision you should make because of it.

A lot of market research becomes a collection of:

  • Competitor lists
  • Customer personas
  • Market-size estimates
  • Trend reports
  • Survey questions
  • SWOT analyses

And then nothing happens.

That's not useful research.

Good market research should reduce uncertainty.

It should help you answer questions like:

  • Who should we sell to?
  • What problem matters most?
  • What alternatives are customers using?
  • What are competitors doing well?
  • Where are customers dissatisfied?
  • Is there real demand for this idea?
  • What should we change?
  • What should we do next?

These 30 prompts are designed to help you use AI throughout the market research process—from defining the market and understanding customers to competitor analysis, opportunity discovery, validation, and decision-making.

The Goal

The goal isn't to collect more market information.

The goal is to use research to make better marketing and business decisions with less guesswork.

Define → Understand → Compare → Discover → Validate → Decide

Don't use AI to generate research for the sake of having research.

Use AI to reduce uncertainty before you make important decisions.

Phase 1: Define the Market

Before researching customers and competitors, define what market you're actually studying.

A vague market produces vague research.

Prompt 01

Define the Market for My Business

Act as a market research strategist.

Help me clearly define the market for:

BUSINESS: [BUSINESS]

PRODUCT/SERVICE: [PRODUCT/SERVICE]

CURRENT CUSTOMER: [CUSTOMER]

GEOGRAPHY: [LOCATION]

INDUSTRY: [INDUSTRY]

Create a market definition covering:

- Core market
- Adjacent markets
- Customer segments
- Product/service categories
- Major use cases
- Relevant alternatives
- Geographic boundaries
- B2B/B2C distinction where relevant

Then identify:

What should be included

What should be excluded

Which assumptions need validation

Do not make the market artificially broad just to make the opportunity appear larger.
Use When
You aren't sure exactly what market you're researching.
Give AI
Your business, product, customer, industry and geographic focus.
Get
A clear market definition.
Do
Use the definition to keep your research focused. If the market definition keeps changing, that's itself a useful research signal.
Prompt 02

Segment the Market

Segment the market for:

PRODUCT/SERVICE: [PRODUCT]

MARKET: [MARKET]

GEOGRAPHY: [GEOGRAPHY]

Identify meaningful customer segments based on factors such as:

- Problem
- Use case
- Buying behavior
- Budget
- Company size
- Experience level
- Industry
- Urgency
- Current solution
- Decision-making process
- Desired outcome

For each segment provide:

Segment → Need → Problem → Current alternative → Buying trigger → Objection → Potential value → Marketing approach

Do not create segments based purely on demographics unless those demographics materially affect the buying decision.

Rank the segments by potential attractiveness.
Use When
Your target audience feels too broad.
Give AI
Market, product, customer and available customer data.
Get
A practical market segmentation framework.
Do
Choose segments based on meaningful differences in needs and buying behavior.
Prompt 03

Find the Most Attractive Market Segment

Evaluate these market segments:

[SEGMENTS]

Score each based on:

- Problem severity
- Market need
- Ability to pay
- Accessibility
- Competition
- Growth potential
- Product fit
- Customer acquisition difficulty
- Retention potential
- Strategic fit

Use a 1–5 scoring system.

For every score explain the reasoning and identify whether it is:

Evidence-based

or

An assumption requiring validation

Then recommend:

Primary segment

Secondary segment

Segment to avoid for now

Do not assume the largest segment is automatically the best segment.
Use When
You have multiple potential customer segments.
Give AI
Your segments, product, market data and business constraints.
Get
A segment-prioritization framework.
Do
Prioritize the segment where customer need, business fit and accessibility overlap.
Prompt 04

Map the Market Ecosystem

Map the ecosystem surrounding:

MARKET: [MARKET]

PRODUCT/SERVICE: [PRODUCT]

Identify:

- Customers
- Suppliers
- Competitors
- Distributors
- Platforms
- Partners
- Agencies/service providers
- Complementary products
- Substitutes
- Influencers/thought leaders
- Industry organizations
- Communities
- Relevant technologies

Then explain how these groups interact.

Identify:

Where value is created

Where value is captured

Where customers experience friction

Where opportunities may exist

Clearly distinguish known information from assumptions.
Use When
You're entering an unfamiliar industry.
Give AI
Market and product information.
Get
A market ecosystem map.
Do
Look beyond direct competitors. Sometimes the biggest opportunity sits between two parts of the ecosystem.
Prompt 05

Build a Market Research Plan

I need to research this market:

MARKET: [MARKET]

BUSINESS DECISION: [DECISION]

CURRENT UNCERTAINTIES: [UNCERTAINTIES]

Create a focused market research plan.

Identify:

1. What I need to learn
2. Why it matters
3. Research questions
4. Best research method
5. Best data source
6. Who/what should be researched
7. Expected evidence
8. Potential limitations
9. How the finding could influence the decision

Separate:

Must know

Useful to know

Nice to know

Do not recommend research that has no connection to an actual business decision.
Use When
You know you need market research but don't know where to start.
Give AI
The business decision, uncertainties and available resources.
Get
A focused research plan.
Do
Start with the decision you need to make, not with the data you happen to have access to.

Phase 2: Understand the Customer

Market research becomes useful when it moves beyond demographics and starts uncovering problems, motivations, behaviors, alternatives and decision criteria.

Prompt 06

Build a Customer Problem Map

Analyze this target customer:

CUSTOMER: [CUSTOMER]

PRODUCT/SERVICE: [PRODUCT]

Identify their problems across:

- Immediate problems
- Recurring problems
- Expensive problems
- Time-consuming problems
- Emotional frustrations
- Business consequences
- Problems caused by existing solutions
- Problems they may not recognize yet

For each problem provide:

Problem → Cause → Current solution → Limitation → Consequence → Desired outcome → Research evidence needed

Rank the problems by likely importance.

Do not invent customer problems and present them as facts.
Use When
You need to understand what customers actually struggle with.
Give AI
Customer information, reviews, interviews, support tickets or sales conversations.
Get
A customer problem map.
Do
Validate the highest-priority problems through real customer research.
Prompt 07

Discover Customer Jobs to Be Done

Analyze why customers might choose:

PRODUCT/SERVICE: [PRODUCT]

Instead of simply describing the product, identify the jobs customers are trying to accomplish.

Separate:

Functional jobs

Emotional jobs

Social jobs

For each job provide:

Job → Situation → Current solution → Desired progress → Frustration → Decision criteria → Product opportunity

Then identify the three most important jobs.

Do not confuse product features with customer jobs.
Use When
You want to understand the deeper reason behind customer purchases.
Give AI
Customer research, product information and existing alternatives.
Get
A jobs-to-be-done map.
Do
Use the customer's desired progress to guide positioning and product decisions.
Prompt 08

Analyze Customer Buying Triggers

Analyze these customer interviews, reviews, sales conversations and survey responses:

[MATERIAL]

Identify recurring events or situations that cause customers to start looking for a solution.

Look for:

- Problems getting worse
- Costs increasing
- Business growth
- New responsibilities
- Deadlines
- Existing solution failures
- Regulatory changes
- New opportunities
- Competitive pressure
- Personal frustration
- Changes in priorities

For each trigger provide:

Trigger → Situation → Problem → Desired outcome → Buying motivation → Potential marketing implication

Rank the strongest triggers based on evidence.
Use When
You want to understand what causes demand to emerge.
Give AI
Real customer conversations and research.
Get
A customer buying-trigger map.
Do
Build marketing around real moments that create demand.
Prompt 09

Analyze Customer Decision Criteria

For this purchase:

PRODUCT/SERVICE: [PRODUCT]

CUSTOMER: [CUSTOMER]

Identify the factors customers are likely to evaluate before making a decision.

Consider:

- Price
- Quality
- Speed
- Convenience
- Features
- Results
- Trust
- Reputation
- Support
- Compatibility
- Expertise
- Risk
- Switching costs
- Integration
- Reviews
- Guarantees
- Ease of implementation

Then rank the criteria by likely importance.

For each criterion explain:

Why it matters → Evidence needed → How customers may evaluate it → How we could differentiate

Clearly distinguish assumptions from evidence.
Use When
You need to understand what actually influences purchase decisions.
Give AI
Product information, customer research, sales objections and competitor information.
Get
A customer decision-criteria map.
Do
Don't assume price is the most important factor just because customers ask about it.
Prompt 10

Extract Customer Language From Research

Analyze these customer interviews, reviews, sales calls, surveys or support conversations:

[MATERIAL]

Extract recurring language around:

- Problems
- Desired outcomes
- Frustrations
- Objections
- Buying reasons
- Alternatives
- Expectations
- Questions
- Emotional concerns

Group the language into themes.

Then identify:

Exact recurring customer phrases

Common concepts

Marketing language worth testing

Company language customers don't naturally use

Do not fabricate quotes.

Clearly distinguish direct customer language from AI-generated interpretations.
Use When
Your marketing sounds like it was written inside the company rather than by the customer.
Give AI
Real customer language.
Get
A customer-language research bank.
Do
Use recurring customer language to improve messaging, content, surveys and product positioning.

Phase 3: Analyze Competitors

Competitor research isn't about copying what competitors do.

It's about understanding the choices customers have and finding opportunities to become the better alternative.

Prompt 11

Build a Competitor Research Framework

Create a competitor research framework for:

OUR BUSINESS: [BUSINESS]

PRODUCT/SERVICE: [PRODUCT]

MARKET: [MARKET]

COMPETITORS: [COMPETITORS]

For each competitor investigate:

- Target audience
- Positioning
- Main promise
- Product/service offering
- Pricing
- Business model
- Strengths
- Weaknesses
- Marketing channels
- Content strategy
- Customer proof
- Reviews
- Customer complaints
- Differentiators
- Potential vulnerabilities

Separate:

Observed facts

Reasonable inferences

Unknowns requiring research
Use When
You need a structured competitor research process.
Give AI
Competitor websites, marketing material, reviews and available data.
Get
A competitor research framework.
Do
Don't confuse what a competitor says about itself with what customers actually think about it.
Prompt 12

Analyze Competitor Positioning

Analyze the positioning of these competitors:

[COMPETITORS]

For each identify:

Target audience

Problem emphasized

Primary promise

Category

Differentiation

Proof

Tone

Pricing/value positioning

Then identify:

- Common positioning themes
- Overcrowded claims
- Underused messages
- Potential positioning gaps
- Areas where competitors appear similar

Finally answer:

What meaningful positioning territory appears under-served?

Do not recommend differentiation that our product cannot credibly support.
Use When
Everyone in your market appears to sound the same.
Give AI
Competitor websites, ads, product pages and messaging.
Get
A competitive positioning map.
Do
Look for customer-relevant gaps, not clever marketing language.
Prompt 13

Analyze Competitor Customer Reviews

Analyze these competitor reviews:

[REVIEWS]

Identify recurring:

Positive themes

Negative themes

Customer frustrations

Reasons customers chose the competitor

Reasons customers regret choosing them

Missing features

Service problems

Expectation gaps

Unmet needs

Then create:

Opportunity → Evidence from reviews → Potential product/marketing response

Separate frequent patterns from isolated comments.

Do not treat a single review as representative of the entire customer base.
Use When
You want to discover competitor weaknesses directly from customer experiences.
Give AI
A meaningful sample of competitor reviews.
Get
A competitor customer-insight map.
Do
Look for repeated problems. Those are much more interesting than isolated complaints.
Prompt 14

Find Competitor Gaps

Compare my business with these competitors:

OUR BUSINESS: [BUSINESS]

COMPETITORS: [COMPETITORS]

Look for gaps across:

- Customer segments
- Use cases
- Product capabilities
- Service
- Pricing/value
- Support
- Education
- Distribution
- Partnerships
- Customer experience
- Positioning
- Proof

For every potential gap provide:

Gap → Evidence → Customer importance → Competitive difficulty → Our ability to address it

Rank the opportunities.

Do not call something a "gap" simply because a competitor doesn't offer it. The gap must matter to customers.
Use When
You want to find opportunities competitors aren't serving well.
Give AI
Your product and competitor information.
Get
A prioritized competitive-gap list.
Do
Validate whether customers actually care about the gap before investing in it.
Prompt 15

Build a Competitor Comparison Matrix

Create a competitor comparison matrix for:

OUR PRODUCT: [PRODUCT]

COMPETITORS: [COMPETITORS]

Compare based on factors that actually matter to the target customer:

- Product fit
- Key use cases
- Features
- Pricing/value
- Ease of use
- Support
- Trust
- Proof
- Integration
- Implementation
- Differentiation

For each category explain:

Why the factor matters

Avoid creating categories simply because they make our product look better.

Then identify:

Where we are stronger

Where competitors are stronger

Where the market is roughly equal

Where we need improvement
Use When
You need a realistic understanding of your competitive position.
Give AI
Verified product and competitor information.
Get
A customer-relevant comparison matrix.
Do
Use the matrix to identify areas for improvement rather than just creating sales collateral.

Phase 4: Find Opportunities & Gaps

Once you understand customers and competitors, look for unmet needs, emerging opportunities and areas where demand may be changing.

Prompt 16

Find Unmet Customer Needs

Analyze this customer research:

[MATERIAL]

Identify needs that appear to be:

- Unmet
- Poorly served
- Expensive to solve
- Time-consuming to solve
- Solved through workarounds
- Solved using multiple products
- Frequently complained about
- Emerging

For each need provide:

Need → Evidence → Current workaround → Customer cost → Potential opportunity → What needs validation

Rank the opportunities by customer importance and business potential.

Do not assume every complaint represents a viable market opportunity.
Use When
You're looking for product or service opportunities.
Give AI
Customer reviews, interviews, support conversations and research.
Get
A list of potential unmet needs.
Do
Validate demand before building a solution.
Prompt 17

Find Market Gaps From Customer Frustrations

Analyze these customer frustrations:

[DATA]

Group them into themes.

For each theme identify:

- Frequency
- Severity
- Current alternatives
- Why current alternatives fail
- Customers affected
- Potential solution
- Evidence strength

Then identify the five most promising market-gap hypotheses.

For each hypothesis provide:

Hypothesis → Evidence → Why it could matter → What would prove/disprove it
Use When
You want to turn complaints into research opportunities.
Give AI
Real customer frustrations.
Get
Market-gap hypotheses.
Do
Treat these as hypotheses—not proven opportunities.
Prompt 18

Identify Emerging Market Trends

Analyze these sources:

[SOURCES]

Identify trends affecting:

MARKET: [MARKET]

Group them into:

- Customer behavior
- Technology
- Pricing
- Distribution
- Regulation
- Competition
- Consumer expectations
- Business models
- Content/media behavior

For each trend provide:

Trend → Evidence → Likely impact → Time horizon → Who benefits → Who may lose → What we should monitor

Separate:

Established trend

Emerging signal

Speculation

Do not present predictions as facts.
Use When
You want to understand where the market may be heading.
Give AI
Recent credible research, reports, customer data and industry sources.
Get
A structured trend analysis.
Do
Use trends to generate hypotheses and prepare—not to blindly chase every new development.
Prompt 19

Find Adjacent Market Opportunities

Our current business is:

BUSINESS: [BUSINESS]

PRODUCT: [PRODUCT]

CUSTOMER: [CUSTOMER]

Identify adjacent markets we could potentially enter.

Evaluate:

- Customer overlap
- Problem overlap
- Product capability overlap
- Distribution overlap
- Competition
- Market attractiveness
- Required investment
- Strategic fit
- Potential risks

For each opportunity provide:

Adjacent market → Why it fits → What would need to change → Evidence required → Risk

Rank the opportunities.
Use When
You're considering expanding beyond your current market.
Give AI
Business, customer, product and market information.
Get
An adjacent-market opportunity map.
Do
Look for adjacency where you already possess an advantage.
Prompt 20

Find New Use Cases for an Existing Product

Analyze this product:

PRODUCT: [PRODUCT]

CURRENT CUSTOMERS: [CUSTOMERS]

CURRENT USE CASES: [USE CASES]

Identify potential additional use cases based on:

- Existing capabilities
- Customer problems
- Adjacent workflows
- Different customer segments
- Different stages of the customer journey
- Unusual ways customers already use the product

For each use case provide:

Use case → Customer → Problem → Product capability → Expected value → Evidence needed

Separate:

Existing evidence

from

Potential hypothesis
Use When
You suspect your existing product could serve more use cases.
Give AI
Product capabilities, customer research and current usage.
Get
New use-case hypotheses.
Do
Look for evidence of customers already moving in that direction before investing heavily.

Phase 5: Validate Ideas & Demand

This is where market research becomes especially valuable.

Before investing heavily in an idea, find out whether the underlying problem and demand are real.

Prompt 21

Validate a New Product Idea

Evaluate this product idea:

IDEA: [IDEA]

TARGET CUSTOMER: [CUSTOMER]

PROBLEM: [PROBLEM]

PROPOSED SOLUTION: [SOLUTION]

Assess:

- Problem severity
- Frequency
- Existing alternatives
- Willingness to pay
- Urgency
- Number of affected customers
- Competitive intensity
- Differentiation potential
- Implementation difficulty
- Major assumptions

Then create:

What we know

What we assume

What we need to validate

Biggest risks

Fastest validation experiments

Do not tell me the idea is "great" without evidence.
Use When
You're considering building a new product, service or offer.
Give AI
Your product idea and any existing research.
Get
A structured validation framework.
Do
Test the riskiest assumption first.
Prompt 22

Design a Customer Interview Study

I want to research:

QUESTION: [RESEARCH QUESTION]

TARGET CUSTOMER: [CUSTOMER]

Design a customer interview study.

Provide:

- Research objective
- Ideal participants
- Screening criteria
- Interview structure
- Questions
- Follow-up questions
- Questions to avoid
- What evidence to look for
- How to analyze responses
- Potential biases

Questions should focus on actual past behavior and experiences rather than asking people to predict hypothetical future behavior whenever possible.

Do not lead respondents toward the answer I want.
Use When
You need qualitative customer research.
Give AI
Your research question, audience and business context.
Get
A practical interview research plan.
Do
Ask about what people actually did, bought, tried or struggled with—not only what they say they would do.
Prompt 23

Create a Market Research Survey

Create a market research survey for:

RESEARCH OBJECTIVE: [OBJECTIVE]

TARGET RESPONDENTS: [AUDIENCE]

The survey should help answer:

[QUESTIONS]

Create a concise survey containing:

- Screening questions
- Behavioral questions
- Problem questions
- Current-solution questions
- Decision criteria
- Satisfaction
- Unmet needs
- Optional demographic/context questions

For each question explain:

What decision this question helps inform

Avoid:

- Leading questions
- Double-barreled questions
- Loaded wording
- Unnecessary demographic questions
- Questions that don't influence a decision

Keep the survey as short as possible while still answering the research objective.
Use When
You need structured quantitative customer feedback.
Give AI
Research objective, audience and business decision.
Get
A focused research survey.
Do
Every question should earn its place by helping answer the research question.
Prompt 24

Evaluate Market Demand Evidence

Evaluate the evidence we have for demand for:

PRODUCT/SERVICE: [PRODUCT]

Available evidence:

[DATA]

Assess evidence across:

- Search demand
- Existing purchases
- Customer inquiries
- Competitor activity
- Customer complaints
- Reviews
- Social discussions
- Community discussions
- Sales conversations
- Pre-orders
- Trials
- Waitlists
- Existing alternatives

For each signal provide:

Signal → Evidence strength → What it tells us → What it does not tell us

Then classify overall demand as:

Strong evidence

Promising but incomplete

Weak evidence

Insufficient evidence

Explain exactly what additional evidence would increase confidence.

Do not treat search volume, social engagement or competitor presence as proof of willingness to pay.
Use When
You need to determine whether an opportunity has genuine demand.
Give AI
All available demand signals.
Get
An evidence-based demand assessment.
Do
Look for multiple independent signals rather than relying on one metric.
Prompt 25

Identify the Riskiest Assumptions

For this business idea:

IDEA: [IDEA]

TARGET CUSTOMER: [CUSTOMER]

BUSINESS MODEL: [MODEL]

List the assumptions that must be true for this idea to succeed.

Group them into:

- Customer assumptions
- Problem assumptions
- Demand assumptions
- Pricing assumptions
- Product assumptions
- Distribution assumptions
- Competitive assumptions
- Operational assumptions

For each assumption score:

Importance

Uncertainty

Cost of being wrong

Then identify the top five assumptions to validate first.

For each provide the fastest realistic validation method.
Use When
You want to reduce risk before investing heavily.
Give AI
Your business idea, business model and current evidence.
Get
A prioritized assumption map.
Do
Test assumptions that are both important and uncertain. Don't spend weeks validating assumptions that don't materially affect the decision.

Phase 6: Turn Research Into Decisions

Research only creates value when it changes what you do.

These final prompts help turn information into strategy.

Prompt 26

Turn Market Research Into Strategic Opportunities

Analyze these market research findings:

[RESEARCH]

Identify opportunities across:

- New customers
- New products
- New services
- New positioning
- New use cases
- Pricing
- Distribution
- Partnerships
- Content
- Customer experience
- Product improvements

For each opportunity provide:

Finding → Opportunity → Why it matters → Evidence → Potential upside → Risk → Next validation step

Rank the opportunities based on evidence, potential impact and feasibility.

Do not generate opportunities simply to create a long list.
Use When
You've completed research but aren't sure what to do with it.
Give AI
Your research findings and business context.
Get
A prioritized opportunity list.
Do
Choose opportunities that have evidence behind them and a clear next step.
Prompt 27

Find What We Still Don't Know

Review this market research:

[RESEARCH]

Identify important unanswered questions.

Group them into:

- Customer
- Market
- Competition
- Demand
- Pricing
- Product
- Distribution
- Positioning
- Risk

For each question provide:

Question → Why it matters → Current evidence → Confidence level → Best way to answer it

Then identify:

The five unknowns most likely to change our decision.
Use When
You've done a lot of research but still feel uncertain.
Give AI
Your existing research.
Get
A research-gap analysis.
Do
Don't research everything. Research the unknowns that could actually change the decision.
Prompt 28

Separate Facts From Assumptions

Audit this market research:

[RESEARCH]

Classify every major conclusion into:

Verified fact

Strong inference

Weak inference

Assumption

Opinion

For each conclusion explain what evidence supports it.

Then identify which assumptions are dangerous to leave unvalidated.

Do not upgrade an assumption into a fact simply because it sounds plausible.
Use When
Research has become a mixture of facts, opinions and assumptions.
Give AI
Research reports, notes, interviews and conclusions.
Get
A confidence map for your research.
Do
Make important business decisions based on evidence strength—not confidence in the wording.
Prompt 29

Build a Market Research Decision Matrix

I need to make this decision:

DECISION: [DECISION]

Here are my research findings:

[RESEARCH]

Create a decision matrix evaluating the available options.

For each option assess:

- Customer demand
- Market attractiveness
- Competitive intensity
- Product fit
- Revenue potential
- Cost
- Risk
- Evidence strength
- Strategic fit
- Time to execution

Score each from 1–5 and explain every score.

Then provide:

Recommended option

Why

What could change the recommendation

What I should validate before committing

Do not make the recommendation simply because one option has the highest numerical score.
Use When
You need to make a business decision based on market research.
Give AI
Your research and available options.
Get
A structured decision framework.
Do
Use the matrix to make trade-offs visible. The final decision still requires human judgment.
Prompt 30

Find the Next Best Market Research Action

Act as my market research strategist.

Here is my current situation:

BUSINESS: [BUSINESS]

MARKET: [MARKET]

PRODUCT/SERVICE: [PRODUCT]

TARGET CUSTOMER: [CUSTOMER]

COMPETITORS: [COMPETITORS]

RESEARCH COMPLETED: [RESEARCH]

CURRENT UNCERTAINTIES: [UNCERTAINTIES]

BUSINESS DECISION: [DECISION]

I have limited time and don't want a giant list of research tasks.

Identify the 5 research actions with the highest expected decision value.

Evaluate each based on:

- Importance of the question
- Current uncertainty
- Potential impact on the decision
- Evidence quality
- Research effort
- Speed
- Cost of being wrong

For each action provide:

1. What I should research
2. Why it matters
3. What we currently know
4. What we don't know
5. Best research method
6. Expected evidence
7. How the finding could change the decision
8. First concrete step

Then answer:

If I can conduct only ONE piece of market research this week, what should it be?

Give me one answer and defend it.

Do not recommend research simply because it would be "interesting."
Use When
You have lots of possible research questions but limited time.
Give AI
Your business decision, existing research and uncertainties.
Get
A prioritized research plan.
Do
Research the question most likely to change your decision.

The Market Research Workflow in One Simple System

You don't need to use all 30 prompts every time you conduct research.

Use them according to the situation.

Phase 1 — Define the Market

#1, #2, #3, #4, #5 → Define the market, segment customers, identify attractive segments, map the ecosystem, and build the research plan.

Phase 2 — Understand the Customer

#6, #7, #8, #9, #10 → Understand problems, jobs, buying triggers, decision criteria and customer language.

Phase 3 — Analyze Competitors

#11, #12, #13, #14, #15 → Research competitors, positioning, customer reviews, gaps and competitive differences.

Phase 4 — Find Opportunities

#16, #17, #18, #19, #20 → Find unmet needs, market gaps, emerging trends, adjacent markets and new use cases.

Phase 5 — Validate Demand

#21, #22, #23, #24, #25 → Validate ideas, conduct interviews, create surveys, assess demand evidence and test assumptions.

Phase 6 — Make Better Decisions

#26, #27, #28, #29, #30 → Turn research into opportunities, identify unknowns, separate facts from assumptions, evaluate options and decide what to research next.

But There's an Even Simpler Way to Remember It

When doing market research, ask five questions:

1. What market are we actually talking about?

Use: #1, #2, #3, #4, #5

Define the market and decide where to focus.

2. What do customers actually need?

Use: #6, #7, #8, #9, #10

Understand problems, motivations, triggers and buying behavior.

3. What alternatives already exist?

Use: #11, #12, #13, #14, #15

Understand competitors and the choices customers already have.

4. Where are the opportunities?

Use: #16, #17, #18, #19, #20

Find unmet needs, market gaps, trends and new opportunities.

5. What should we believe—and what should we investigate next?

Use: #21, #22, #23, #24, #25, #26, #27, #28, #29, #30

Validate demand, challenge assumptions and turn research into decisions.

Don't Confuse Market Research With Collecting Information

This is probably the most important lesson on this page.

You can spend weeks collecting:

  • Competitor websites
  • Industry reports
  • Search data
  • Customer interviews
  • Surveys
  • Reviews
  • Social media discussions
  • Market statistics

…and still not know what to do.

Because information isn't the same as insight.

And insight isn't the same as a decision.

A useful research process looks more like:

Question → Evidence → Interpretation → Decision → Action

For example:

Don't stop at:

"Customers complain that existing tools are complicated."

Ask:

How often does this problem occur?

Which customers experience it?

What do they use instead?

How much does the problem cost them?

Are they willing to switch?

What evidence would prove that this is a valuable opportunity?

That's where market research becomes useful.

AI Can Help With Research. It Can't Replace Evidence.

This is especially important when using AI for market research.

AI can help you:

  • Structure research
  • Analyze large amounts of text
  • Identify patterns
  • Organize customer feedback
  • Compare information
  • Generate hypotheses
  • Create research questions
  • Prioritize what to investigate

But AI should not magically turn an assumption into a fact.

If you ask:

"Is there a huge demand for this product?"

and provide no reliable evidence, the model can produce a convincing answer.

That doesn't make the demand real.

Use AI to analyze evidence and identify what you need to learn.

Don't use it to manufacture certainty.

The Real Point of These Prompts

These aren't meant to be another collection of generic AI prompts for creating:

"A detailed customer persona."

They're designed to become a repeatable market research system.

Use AI to help you ask better questions:

What exactly are we researching?

Who actually has the problem?

How serious is the problem?

What are customers doing today?

Why do they choose those alternatives?

What are competitors missing?

Where are customers frustrated?

Is there evidence of real demand?

Which assumptions are still risky?

What should we investigate next?

That's the difference between using AI to generate market research documents and using AI to become a better researcher and marketer.

Don't research more just because you can.

Research what could change your decision.
Download All Prompts (PDF)
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