Proven ChatGPT Prompts for Running Market Research

Tested prompts for chatgpt prompts for market research compared across 5 leading AI models.

BEST BY JUDGE SCORE Claude Haiku 4.5 9/10

If you searched for ChatGPT prompts for market research, you probably need to size a market, understand a competitor, or validate a buyer persona before a meeting or launch. You want prompts that produce structured, usable output, not generic paragraphs you still have to rewrite. This page gives you tested prompt patterns you can copy, adapt, and run today.

Market research with ChatGPT works best when you treat the model as a fast synthesizer of public knowledge and a structured-thinking partner, not as a source of proprietary data. The prompts below are designed around that reality: they force the model to output frameworks (TAM/SAM/SOM, Porter's Five Forces, JTBD), cite assumption logic, and flag where you need real data.

Use the prompts as starting scaffolds. Tune the industry, geography, and customer segment, then layer in your own interviews, survey data, or analyst reports to get research you can actually ship to a stakeholder.

When to use this

Reach for ChatGPT prompts when you need directional research fast, when you are exploring an unfamiliar market, or when you need to structure raw notes into frameworks. It is strongest in the early discovery and synthesis phases where speed and breadth matter more than precision, and where a structured first draft unblocks the next step.

  • Building a first-pass competitor matrix before a strategy offsite
  • Drafting buyer personas and JTBD statements from customer interview notes
  • Estimating TAM/SAM/SOM for a new product line with public signals
  • Generating survey questions or interview guides for a specific segment
  • Summarizing analyst reports, earnings calls, or Reddit threads into themes

When this format breaks down

  • You need current market size figures with citations for an investor deck. The model will hallucinate or use stale numbers.
  • You are analyzing proprietary customer data that cannot be shared with a third-party model.
  • The market is niche or regional with thin public coverage (local B2B services, emerging regulatory categories).
  • You need legally defensible claims about market share, pricing, or competitor behavior.

The prompt we tested

You are an expert market research strategist helping a founder or marketer conduct structured market research using ChatGPT. Based on the business context below, generate a set of high-quality, ready-to-use ChatGPT prompts that cover the key dimensions of market research: target customer profiling, pain points and jobs-to-be-done, competitor analysis, market sizing and trends, pricing and positioning, and customer interview questions.

Business context:
I'm launching a subscription meal-planning app aimed at busy working parents in the US who want healthy, budget-friendly dinners. Competitors include HelloFresh, Mealime, and PlateJoy, but I want to find an underserved niche. I need to validate demand, understand willingness to pay, and map out positioning before building the MVP.

Follow these rules when producing the prompts:
Output 8-12 numbered, copy-paste-ready prompts grouped under clear category headings (e.g., Customer Profiling, Competitor Analysis, Pricing & Positioning). Each prompt must be written in second person addressed to ChatGPT, specify the role, desired output format (table, bullet list, etc.), and include placeholders in brackets like [product] or [target market] so the user can reuse them. Keep each prompt to 2-5 sentences and end with a short tip on how to iterate on the output.

Model comparison

ModelQualityCostLatencyTokens
Claude Opus 4.7 9 $0.1602 33.2s 442 / 2048
Claude Haiku 4.5 9 $0.0106 24.2s 311 / 2048
GPT-5.4Not run yet
Gemini 2.5 ProNot run yet
Grok 4.1 Fast Reasoning 9 $0.0007 24.1s 413 / 1307

Outputs

Claude Opus 4.7 9/10
# Market Research Prompts for Your Meal-Planning App

Below are 10 ready-to-use ChatGPT prompts organized by research dimension. Copy, paste, and replace the bracketed placeholders with your specifics.

---

## 🎯 Customer Profiling

**1. Build detailed personas**
You are a senior consumer researcher specializing in [target market: busy working parents in the US]. Create 3 distinct personas for users of a [product: subscription meal-planning app focused on healthy, budget-friendly dinners]. Present the output as a table with columns: Name, Age/Household, Occupation, Weekly Schedule, Food Values, Budget per Week, Biggest Frustrations, and Preferred Apps/Tools.
*Tip: Iterate by asking ChatGPT to "make persona #2 a single parent of 3 earning under $60K" to stress-test niches.*

**2. Segment the market for underserved niches**
Act as a market segmentation strategist. Break down [target market] into 6-8 micro-segments based on lifestyle, dietary needs, income, and cooking ability. For each, rate (High/Med/Low) how well HelloFresh, Mealime, and PlateJoy currently serve them, and flag the 2 most underserved segments with reasoning in a table.
*Tip: Follow up with "Give me 5 marketing angles to reach the top underserved segment."*

---

## 💡 Pain Points & Jobs-to-Be-Done

**3. Map the Jobs-to-Be-Done**
You are a JTBD framework expert. List the top 10 functional, emotional, and social jobs that [target market] are "hiring" a meal-planning solution to do. Format as a bulleted list grouped by job type, and note which jobs are currently underserved by [competitors: HelloFresh, Mealime, PlateJoy].
*Tip: Ask ChatGPT to rank the jobs by frequency and importance, then pick the top 3 to build your value prop around.*

**4. Surface hidden pain points**
Act as a qualitative researcher analyzing Reddit, app store reviews, and parenting forums. List 15 specific, verbatim-style complaints from [target market] about meal planning, grocery budgeting, and existing meal-kit/app services. Organize into a table with columns: Pain Point, Example Quote, Root Cause, Frequency (Common/Occasional).
*Tip: Ask for actual subreddit and forum names to visit next for primary research.*

---

## 🔍 Competitor Analysis

**5. Build a competitive feature matrix**
You are a competitive intelligence analyst. Create a comparison table of [competitors: HelloFresh, Mealime, PlateJoy, and 2 others you recommend] across these dimensions: Pricing, Target User, Core Features, Dietary Customization, Grocery Integration, Budget-Consciousness, Weaknesses, and App Store Rating.
*Tip: Follow up with "What features does no competitor offer that [target market] would pay for?"*

**6. Analyze competitor positioning and messaging**
Act as a brand strategist. Review the homepage messaging, taglines, and ad copy of [competitor 1], [competitor 2], and [competitor 3]. Summarize each company's positioning statement, target customer, emotional hooks, and messaging gaps in a table, then recommend 3 whitespace positioning angles for a new entrant.
*Tip: Paste in their actual homepage copy for sharper, more accurate analysis.*

---

## 📊 Market Sizing & Trends

**7. Estimate market size (TAM/SAM/SOM)**
You are a market analyst. Estimate TAM, SAM, and SOM for a [product] targeting [target market] in the US. Show your math step-by-step, list the assumptions and data sources you'd use to validate, and present final numbers in a table with a 3-year growth projection.
*Tip: Ask "What 5 public data sources should I check to verify these numbers?" to get a validation checklist.*

**8. Identify relevant trends and tailwinds**
Act as a consumer trends researcher. List the top 10 trends (cultural, technological, economic, regulatory) from the last 3 years that will impact demand for [product] among [target market]. For each trend, provide: Description, Evidence/Stat, Impact on my business (Opportunity/Threat), and Strategic Implication.
*Tip: Ask ChatGPT to "flag which 3 trends are most defensible to build a brand around."*

---

## 💰 Pricing & Positioning

**9. Test pricing models and willingness to pay**
You are a pricing strategist. Propose 4 pricing models for [product] (e.g., flat monthly, freemium, tiered, annual). For each, estimate a reasonable price range for [target market], explain the psychological rationale, and list pros/cons. Then recommend which to test in an MVP and why, in a decision-matrix table.
*Tip: Follow up with "Design a Van Westendorp price sensitivity survey I can send to 50 target users."*

**10. Craft and stress-test positioning statements**
Act as a positioning expert trained in April Dunford's methodology. Draft 3 distinct positioning statements for [product] aimed at [target market], each targeting a different underserved niche. For each, include: Category, Target Customer, Key Alternatives, Unique Value, and a one-line elevator pitch. Format as a comparison table.
*Tip: Ask "Which of these would be hardest for HelloFresh to copy?" to pressure-test defensibility.*

---

## 🎤 Customer Interview Questions

**11. Generate a discovery interview script**
You are a user researcher trained in "The Mom Test" by Rob Fitzpatrick. Write a 20-minute customer discovery interview script for [target market] to validate demand for [product]. Include warm-up questions, behavior-focused questions about their current meal-planning process, problem-validation questions, and willingness-to-pay probes—without leading the interviewee. Format as a numbered script with notes on what each question is designed to reveal.
*
Judge notes: Excellent execution—delivers 11 well-structured, immediately actionable ChatGPT prompts organized by research dimension, with clear placeholders, output formats, and practical iteration tips that directly satisfy the query for proven market research prompts.
Claude Haiku 4.5 9/10
# Market Research Prompts for Meal-Planning Subscription App

## Customer Profiling & Segmentation

**1. Create a Target Customer Persona**

You are a market research analyst specializing in consumer behavior. Create 3–4 detailed buyer personas for [busy working parents aged 28–45 in the US] interested in [healthy, budget-friendly meal planning]. For each persona, include: demographics, household income, work schedule, family size, tech comfort level, current pain points, and decision-making style. Format as a table with columns for each attribute.

*Tip: Ask follow-up prompts to drill deeper into one persona (e.g., "What's the morning routine of Persona 2?") or to validate personas against real survey data.*

**2. Identify Underserved Micro-Segments**

You are a niche market strategist. Analyze [the meal-planning subscription space] and identify 5–7 underserved micro-segments within the [busy working parent] category (e.g., single parents, plant-based families, low-income households, parents with food allergies). For each segment, explain why it's underserved and its potential size. Format as a ranked bullet list.

*Tip: Cross-reference findings with Reddit communities, Facebook groups, or survey data to validate which segments show highest engagement or frustration.*

---

## Pain Points & Jobs-to-Be-Done

**3. Map Core Pain Points and Emotional Jobs**

You are a jobs-to-be-done strategist. For [busy working parents seeking meal planning solutions], list 10–12 primary pain points across these categories: time management, decision fatigue, budget constraints, dietary variety, grocery shopping, food waste, and family preferences. Then reframe 5–6 of the most critical pain points as emotional or functional "jobs" they're trying to accomplish. Format as a two-column table: Pain Point → Job-to-Be-Done.

*Tip: Validate these jobs by asking customers "When did you last feel frustrated by [pain point]?" in interviews; emotional language reveals the strongest motivations.*

**4. Quantify Pain Point Severity**

You are a market researcher. Design a survey framework to measure the severity and frequency of [5 key pain points related to meal planning for busy parents]. For each pain point, suggest 2–3 Likert-scale or open-ended questions that uncover both the emotional and practical impact. Include sampling guidance (target 100–200 respondents from [your target market]). Format as a structured survey outline.

*Tip: Use tools like Typeform or SurveyMonkey to run this in 1–2 weeks; prioritize pain points scoring highest on both frequency and emotional intensity.*

---

## Competitor Analysis

**5. Competitive Feature & Positioning Matrix**

You are a competitive intelligence analyst. Create a comparison matrix of [HelloFresh, Mealime, PlateJoy, and any 2 emerging competitors] across these dimensions: core feature set, target audience, pricing model, meal customization depth, time-to-cook, budget-friendliness, app UX rating, and unique differentiation. Format as a table and highlight gaps or opportunities where [your product] could outperform.

*Tip: Visit each competitor's app store page, pricing page, and run 2–3 sample workflows; note exact language they use to describe their value prop—this reveals what's already claimed.*

**6. Analyze Competitor Weaknesses Through Customer Reviews**

You are a sentiment analyst specializing in app reviews. Analyze the top complaints and praise from 50+ reviews each of [HelloFresh and Mealime] (across App Store and Google Play). Organize findings into a table: Competitor → Top 3 Weaknesses → Top 3 Strengths → Market Opportunity. Identify patterns in complaints related to [budget, time-to-prepare, family customization, and grocery coordination].

*Tip: Use AppFigures, Sensor Tower, or manually scrape reviews; tag complaints by theme (UX, price, variety, etc.) to spot underserved needs your app could address.*

---

## Market Sizing & Trends

**7. Estimate Total Addressable Market (TAM)**

You are a market sizing specialist. Estimate the TAM for [subscription meal-planning services targeting busy working parents in the US]. Start with the total US population, filter down through: parents with children under 18, working full-time, earning $40K+, and interested in meal planning. Provide calculation steps, cite data sources, and give a TAM range (conservative, mid, optimistic). Format as a step-by-step breakdown with final numbers.

*Tip: Cross-check estimates using Census data, BLS employment figures, and industry reports (e.g., McKinsey, Statista); provide a confidence level for each assumption.*

**8. Map Macro Trends Influencing Demand**

You are a trends researcher. Identify and explain 6–8 macro trends (economic, cultural, technological, health-related) that are driving or could drive demand for [healthy, budget-conscious meal planning among working parents] through 2025–2026. For each trend, estimate its impact (high/medium/low) and suggest how [your product] could align with or leverage it. Format as a table: Trend → Description → Impact → Strategic Alignment.

*Tip: Review reports from Mintel, Euromonitor, or trend forecasters like Wired's Future Lab; cite sources and note which trends have the strongest data backing.*

---

## Pricing & Positioning

**9. Determine Willingness-to-Pay and Price Sensitivity**

You are a pricing strategist. Design a research framework to test willingness-to-pay (WTP) for [a meal-planning subscription targeting busy parents]. Include: (a) 3–4 pricing tiers you'd test ($5–$20/month range), (b) 2–3 survey question formats (van Westendorp, conjoint, or direct questioning), (c) guidance on sample size and respondent targeting, and (d) how to account for competitor pricing ($10–$15/month typical). Format as a structured research plan with specific numbers and methodologies.

*Tip: Run WTP surveys with 100–150 target customers; look for price "sweet spots" where willingness drops off sharply—this reveals elasticity and optimal positioning.*

**10. Craft Differentiated Positioning Against Key Competitors**

You are a positioning strategist. Given that [HelloFresh emphasizes convenience and recipe variety, Mealime targets time-saving, and PlateJoy focuses on personalization], develop 3 alternative positioning statements for [your meal-planning app] that address underserved needs of [busy working parents, particularly those on tight budgets]. Each statement should be 1–2 sentences, include a core benefit, and differentiate on one key dimension (speed, cost, family flexibility, etc.). Format as numbered statements with supporting rationale.

*Tip: Test these positioning statements in customer interviews (qualitative) and surveys (quantitative); the strongest one should evoke immediate recognition of the problem and solution.*

---

## Customer Interview Guide

**11. Design a Customer Discovery Interview Script**

You are a customer development specialist. Create a semi-structured interview guide (12–15 open-ended questions) for [30-minute conversations with busy working parents interested in meal planning]. Structure it in three phases: (a) current meal-planning workflow and pain points (4–5 Qs), (b) needs and desired outcomes (4–5 Qs), (c) willingness to try a new solution and adoption barriers (3–4 Qs). Include probing follow-ups and note-taking prompts. Format as a conversational script with interviewer guidance.

*Tip: After 8–10 interviews, look for repeating themes; if new themes still emerge, continue to 15–20 interviews for saturation; record and transcribe for deeper analysis.*

**12. Create a Post-Interview Analysis Framework**

You are a qualitative research analyst. Design a template and process to synthesize insights from [12+ customer discovery interviews about meal-planning needs]. Include: (a) a 1-page summary template per interview (key quotes, pain points, needs, objections), (b) a thematic coding guide (e.g., time, cost, family dynamics, health), (c) a cross-interview pattern-spotting checklist, and (d) guidance on surfacing the top 3–5 insights to share with your product team. Format as a structured toolkit with example outputs.

*Tip: Use a tool like Dovetail, Miro, or a simple spreadsheet; color-code themes and create a "hot quotes" doc to bring interviews to life in team presentations.*

---

## Implementation Notes

- **Start with prompts 1–3** to clarify your customer and their core needs (1–2 weeks).
- **Run prompts 5–6 and 11–12 in parallel** to
Judge notes: Exceptionally well-structured, directly actionable ChatGPT prompts fully aligned with query intent; excellent category organization, clear formatting with brackets for reusability, practical tips for iteration, and a complete market research toolkit—only minor room for additional depth on statistical rigor or tool recommendations.
Grok 4.1 Fast Reasoning 9/10
### Customer Profiling
1. **Buyer Personas**  
   You are an expert customer profiler specializing in consumer tech. For [target market: busy working parents in the US seeking healthy, budget-friendly dinners] and [product: subscription meal-planning app], create 3 detailed buyer personas representing key segments. Output as a markdown table with columns: Persona Name, Age/Income/Family Size, Psychographics (values, attitudes), Daily Behaviors, Key Motivations.  
   *Tip: Iterate by providing feedback on personas (e.g., "Make Persona 2 more budget-focused") to refine details.*

2. **Customer Segments**  
   You are a market segmentation expert. Analyze potential segments within [target market: busy working parents in the US seeking healthy, budget-friendly dinners] for [product: subscription meal-planning app], identifying underserved niches beyond [competitors: HelloFresh, Mealime, PlateJoy]. Output as a bullet list of 5 segments with descriptions, size estimates, and accessibility via digital channels.  
   *Tip: Iterate by asking "Expand on segment [X] with data sources" to add validation.*

### Pain Points and Jobs-to-Be-Done
3. **Pain Points Identification**  
   You are a jobs-to-be-done framework expert. For [target market: busy working parents in the US seeking healthy, budget-friendly dinners], list the top 10 pain points related to meal planning and preparation, ranked by severity. Output as a numbered list with each pain point described in 1-2 sentences, including emotional and functional impacts.  
   *Tip: Iterate by prompting "Prioritize these pains for [specific segment, e.g., dual-income families]" for customization.*

4. **Jobs-to-Be-Done Mapping**  
   You are an expert in JTBD theory for consumer apps. Map 8 core jobs-to-be-done for [target market: busy working parents in the US] when using [product: subscription meal-planning app], categorizing as functional, emotional, and social. Output in a table with columns: Job Category, Specific Job, Current Solutions, Unmet Needs.  
   *Tip: Iterate with "Cross-reference these JTBD against [competitor feature]" to spot opportunities.*

### Competitor Analysis
5. **Competitor Feature Comparison**  
   You are a competitive intelligence analyst. Compare [product: subscription meal-planning app] against [competitors: HelloFresh, Mealime, PlateJoy] on 10 key features like customization, pricing, grocery integration, and family-friendliness for [target market]. Output as a markdown table with rows for features and columns for each competitor plus your gaps/opportunities.  
   *Tip: Iterate by uploading competitor screenshots and saying "Update table with visual analysis."*

6. **Competitor SWOT and Gaps**  
   You are a strategic analyst focused on underserved niches. Perform a SWOT analysis for each of [competitors: HelloFresh, Mealime, PlateJoy] targeting [target market: busy working parents in the US], highlighting budget-friendly healthy meal gaps. Output as bullet lists grouped by competitor, ending with 3 niche opportunities for [product].  
   *Tip: Iterate with "Deepen threats section using recent reviews" for timeliness.*

### Market Sizing and Trends
7. **Market Sizing**  
   You are a market sizing expert using top-down and bottom-up methods. Estimate TAM, SAM, and SOM for [product: subscription meal-planning app] aimed at [target market: busy working parents in the US], incorporating US household data and subscription app penetration. Output as a table with assumptions, calculations, and final figures in dollars/subscribers.  
   *Tip: Iterate by providing "Use [specific data source, e.g., Statista meal kit stats]" to refine numbers.*

8. **Trends Analysis**  
   You are a trends forecaster for food-tech. Identify 8 emerging trends in meal planning/subscription apps relevant to [target market: busy working parents in the US wanting healthy, budget-friendly dinners], such as inflation impacts or AI personalization. Output as a bullet list with trend description, evidence, and opportunity for [product].  
   *Tip: Iterate with "Forecast [trend] impact over 3 years" for forward-looking insights.*

### Pricing and Positioning
9. **Willingness to Pay and Pricing**  
   You are a pricing strategist for SaaS apps. For [product: subscription meal-planning app] targeting [target market], benchmark pricing against [competitors: HelloFresh, Mealime, PlateJoy], estimate willingness to pay via value-based tiers, and suggest 3 models (e.g., $5-15/month). Output as a table with tiers, features, competitor comps, and projected conversion rates.  
   *Tip: Iterate by asking "Test sensitivity to [price point, e.g., $9.99] with survey logic."*

10. **Positioning Strategy**  
    You are a branding and positioning expert. Develop a positioning statement and perceptual map for [product: subscription meal-planning app] vs. [competitors: HelloFresh, Mealime, PlateJoy], emphasizing underserved [target market] needs like budget-health balance. Output as: 1 positioning statement, 1 perceptual map description (axes: health vs. cost), and 5 key messages.  
    *Tip: Iterate with "Adapt for [niche segment, e.g., vegan parents]" to specialize.*

### Customer Interview Questions
11. **Interview Question Script**  
    You are a qualitative research designer. Create a 12-question interview script to validate demand for [product: subscription meal-planning app] with [target market: busy working parents in the US], covering pains, JTBD, willingness to pay, and competitor use. Output as a numbered list grouped by section (Intro, Core, Close), with follow-up probes.  
    *Tip: Iterate by prompting "Shorten for 15-min calls" or "Add screening questions."*

12. **Validation Hypotheses Questions**  
    You are an MVP validation expert. Generate 10 hypothesis-testing questions for customer interviews on [product: subscription meal-planning app], focusing on demand, pricing ($X/month), and niche fit vs. [competitors]. Output as a bullet list with question, hypothesis it tests, and expected positive/negative signals.  
    *Tip: Iterate with "Prioritize top 5 for surveys" to adapt for quantitative use.*
Judge notes: Exceptionally well-crafted output that fully satisfies the query intent with 12 ready-to-use, contextually relevant ChatGPT prompts organized into six clear categories, each featuring proper formatting, reusable placeholders, specific iteration tips, and direct applicability to market research for the meal-planning app use case.

What makes these work

  1. 01
    Assign a specific analyst role

    Open with 'Act as a B2B market analyst covering [specific category]' instead of a generic 'marketing expert'. This narrows vocabulary, frameworks, and default assumptions. The more specific the role, the less generic the output.

  2. 02
    Demand the output structure

    Tell the model exactly what shape you want: markdown table, 2x2 matrix, numbered persona blocks, bullet list with sub-bullets. Structured output is faster to scan, easier to paste into a deck, and forces the model to fill gaps rather than ramble.

  3. 03
    Force assumption transparency

    Add 'show your assumptions and flag what needs verification' to any sizing, pricing, or share prompt. You get a working estimate plus a checklist of what to go validate with real data, which is exactly the research artifact you need.

  4. 04
    Feed it your raw inputs

    Paste actual interview transcripts, review text, or competitor copy rather than asking the model to guess. Synthesis of material you provide is dramatically more accurate than open-ended generation, and it keeps output grounded in your reality.

More example scenarios

#01 · Competitor teardown for a vertical SaaS launch
Input
Act as a B2B market analyst. Compare the top 5 scheduling tools for independent medical practices in the US. For each, give me: target customer, pricing model, 3 differentiators, and a weakness based on public reviews. Return as a markdown table.
Expected output
A 5-row markdown table covering tools like Jane, Tebra, SimplePractice, DrChrono, and Kareo, with columns for ICP (solo practitioners vs multi-provider clinics), pricing ($20-$600/month tiers), differentiators (telehealth, billing integrations, intake forms), and weaknesses drawn from G2 and Capterra patterns (reporting gaps, support latency).
#02 · Persona synthesis from interview notes
Input
Here are transcripts from 6 interviews with marketing ops leaders at 200-1000 person SaaS companies. [paste notes]. Build 2 distinct personas. For each include: title, goals, top 3 pain points, tools they use today, buying triggers, and objections to a new vendor.
Expected output
Two personas: 'Scaling Sam' (Director of MOps at 300-person Series C, drowning in attribution) and 'Consolidator Chris' (VP MOps at 800-person pre-IPO, cutting tool sprawl). Each with 3 verbatim-style pain quotes pulled from the transcripts, current stack (HubSpot, Marketo, 6sense), and triggers like funding rounds or new CRO hires.
#03 · TAM/SAM/SOM sizing for a new feature
Input
I am launching an AI meeting-notes feature for field sales teams in North American industrial distribution. Walk me through a TAM/SAM/SOM estimate. Show your assumptions, the math, and flag which numbers I should verify with primary sources.
Expected output
TAM: ~850K field sales reps in NA industrial distribution x $400 ACV = $340M. SAM: ~180K reps at firms with 50+ sellers. SOM: 3% capture in year 1 = ~$2.2M ARR. Each line notes the source assumption (BLS occupation data, NAICS firm counts) and flags which require verification.
#04 · Survey question design
Input
I want to test price sensitivity for a $79/month productivity app targeting freelance designers. Draft 10 survey questions using Van Westendorp pricing methodology plus 3 qualitative follow-ups. Keep language casual.
Expected output
Four Van Westendorp questions (too cheap, bargain, expensive, too expensive), 3 demographic screeners (income, years freelancing, current tool spend), and 3 open-ends on workflow pain. Tone is conversational, not corporate, with a 5-minute completion estimate noted.
#05 · Trend synthesis from public sources
Input
Summarize the 5 biggest shifts in the DTC skincare category over the last 18 months based on public commentary, analyst notes, and earnings calls. For each shift, give a one-line implication for a new brand entering the retinol segment.
Expected output
Five themes: Sephora pulling back on new brand slots, dermatologist-led brands gaining share, Gen Alpha skincare backlash, TikTok Shop shifting CAC math, and science-backed claims beating 'clean beauty'. Each with a concrete implication like 'lead with clinical trials, not ingredient fearmongering'.

Common mistakes to avoid

  • Trusting cited statistics

    ChatGPT will confidently produce market size numbers, growth rates, and share percentages that look precise but are often wrong or outdated. Always treat numbers as placeholders to verify against a named source before they leave your machine.

  • Asking one giant question

    Prompts like 'do market research on the CRM industry' produce shallow surveys. Break the work into steps: competitors, then pricing, then personas, then trends. Each narrow prompt gets a sharper answer than one sprawling one.

  • Skipping the ICP definition

    If you do not specify company size, geography, industry, and buyer role, the model defaults to US mid-market generic. Output ends up useless for anyone outside that default. Spend the first sentence nailing the ICP.

  • Using it as a sole source

    Teams sometimes hand ChatGPT output straight to stakeholders. It should be a first draft you layer on top of interviews, analyst reports, and internal data. Treat it as a research intern, not a research firm.

  • Ignoring recency limits

    The model may not know about launches, acquisitions, or pricing changes from the last few months. For fast-moving categories, paste in recent news snippets or browse-enabled sources instead of relying on training data.

Related queries

Frequently asked questions

Can ChatGPT do real market research or just summarize?

It excels at synthesis, framework application, and structured first drafts. It cannot conduct primary research, run surveys, or access private data sources. Use it to organize what is known and identify what you need to go learn, not to replace interviews or paid databases.

What is the best ChatGPT prompt for competitor analysis?

Start with 'Act as a market analyst. Compare [3-5 named competitors] in [specific category] across [ICP, pricing, features, GTM, weaknesses]. Return as a markdown table and cite public sources where possible.' Naming competitors yourself prevents the model from inventing fake ones.

How do I get ChatGPT to give accurate market size numbers?

You generally cannot get citation-grade numbers directly. Instead, prompt it to build a bottoms-up estimate: 'Walk me through TAM using [population] x [penetration] x [ACV]. Show assumptions.' Then verify each input with a real source like Census, BLS, or Statista.

Which ChatGPT model is best for market research?

Use a reasoning model (GPT-4 class or higher) with browsing enabled when you need current information. For synthesis of content you paste in, any recent frontier model works. Avoid small models for research tasks, they hallucinate structure and miss nuance.

Can I use ChatGPT to analyze customer interview transcripts?

Yes, this is one of its strongest use cases. Paste cleaned transcripts and prompt for themes, verbatim quotes by theme, persona extraction, or JTBD statements. Check your company's policy on sharing customer data with third-party AI before pasting anything sensitive.

How do I write a ChatGPT prompt for buyer persona research?

Give it source material (interviews, survey results, sales call notes) and ask for 2-3 distinct personas with goals, pains, tools, triggers, and objections. Specifying the number of personas and the exact fields you want prevents generic output and makes personas directly usable in positioning work.