ChatGPT Prompts for Market Researchers: Survey Design, Analysis, Reports

Published: July 2026 | 8 min read

Market research is the discipline of turning human behavior into business decisions. AI can accelerate survey design, data synthesis, and report writing — but "analyze this market" produces nothing a VP would trust. Structured prompts that define the research objective, methodology, sample characteristics, and output format turn AI into a research analyst that compresses days of work into hours.

Below are production-ready ChatGPT prompts for market researchers, organized by workflow. These are adapted from Skillent's Marketing AI Prompt Library.

Survey Design

1. Customer Satisfaction Survey Builder

Role: Survey design specialist
Task: Design a customer satisfaction survey for [product/service].
Survey objective: [measure satisfaction / identify pain points / track NPS / benchmark vs. competitors]
Target respondent: [describe — customer type, tenure, usage level]
Survey length: [5 / 10 / 15 questions max]
Question types:
- 3 NPS-style questions (0-10 scale)
- 3 CSAT questions (1-5 scale)
- 2 open-ended questions
- 2 multiple-choice questions
- 1 demographic question
For each question:
1. Question text (clear, unbiased, no leading language)
2. Question type (scale / multiple choice / open-ended / ranking)
3. Answer options (if applicable)
4. Rationale (what you'll learn, how it maps to objective)
5. Skip logic (if applicable)
Output: Ready-to-program survey with flow diagram (text-based).
Include: Pre-survey screening questions and post-survey thank-you message.

2. Concept Testing Survey

Role: Product research specialist
Task: Design a concept testing survey for [product/concept description].
Concept: [describe what's being tested]
Hypotheses to test:
1. Appeal (would they use it?)
2. Price sensitivity (what would they pay?)
3. Feature priority (which features matter most?)
4. Barriers (what would stop them from adopting?)
5. Competitive comparison (vs. [competitor])
Question structure:
- 2 warm-up questions (familiarity with category)
- 3 concept evaluation questions (appeal, uniqueness, believability)
- 3 purchase intent questions (definitely/probably/might not/definitely not)
- 2 pricing questions (Van Westendorp price sensitivity)
- 2 open-ended questions (what would make it better / what concerns you)
Output: Complete survey ready for programming in [Qualtrics/SurveyMonkey/Typeform].
Include: Analysis plan — what results would indicate go/no-go decision.

3. Focus Group Discussion Guide

Role: Qualitative research moderator
Task: Create a focus group discussion guide for [research objective].
Topic: [describe what you're exploring]
Participants: [describe — 6-8 people, demographics, user/non-user mix]
Duration: 90 minutes
Structure:
1. Introduction (5 min — ground rules, consent, introductions)
2. Warm-up (10 min — general category discussion, not brand-specific)
3. Core exploration (45 min — 3-4 key topics with probing questions)
4. Concept reaction (15 min — present concept, get reactions)
5. Closing (15 min — summary reflection, final thoughts, thank you)
For each section:
- Time allocation
- Key questions (main + 2-3 probe/follow-up questions)
- What to listen for (insight signals)
- Red flags (what would indicate a problem)
Output: Moderator guide ready for a 90-minute session.
Include: Note-taker instructions and observation guide for behind-glass team.

Data Analysis & Synthesis

4. Survey Data Analysis Plan

Role: Research analyst
Task: Create an analysis plan for this survey dataset.
Survey: [describe — topic, number of questions, sample size, collection method]
Variables: [list key variables and types — ordinal, nominal, scale, open-ended]
For each research question:
1. Which variables answer it
2. Analysis method (descriptive stats / cross-tab / correlation / regression / thematic)
3. Segmentation variables (how to cut the data — by demo, behavior, tenure)
4. Expected output (table, chart, narrative summary)
5. Statistical tests needed (chi-square, t-test, ANOVA — if applicable)
Output: Analysis plan document with 10-15 specific analyses to run.
Include: Priority ranking — which analyses answer the most important business questions.

5. Open-Ended Response Coder

Role: Qualitative research coder
Task: Analyze these open-ended survey responses and identify themes.
Question: [paste survey question]
Responses: [paste 50-100 responses]
Process:
1. Read all responses
2. Identify 8-12 recurring themes
3. For each theme: definition, example quote, frequency count
4. Code each response to 1-2 themes
5. Identify 5-10 outlier responses (unique insights not fitting themes)
Output:
- Theme summary table (theme, count, %, example quotes)
- Coded response list (response → theme assignment)
- Top 3 actionable insights from the themes
Include: Sentiment per theme (positive/neutral/negative).

6. Competitive Intelligence Synthesis

Role: Competitive intelligence analyst
Task: Synthesize research on [number] competitors in [industry].
Competitors: [list names]
Data sources: [list — annual reports, news, reviews, social media, job postings, patents]
For each competitor:
1. Market position (share estimate, target customer, positioning)
2. Product/service offering (key features, pricing, gaps)
3. Financial health (revenue estimate, growth trajectory, funding)
4. Strengths (what they do well — evidence-based)
5. Weaknesses (where they're vulnerable — evidence-based)
6. Strategic direction (based on recent moves, hires, investments)
7. Threat level to us (High/Med/Low + rationale)
Cross-competitor analysis:
- Where is the market going? (trends across all competitors)
- Where is the white space? (what no one is doing)
- What should we do? (3 strategic recommendations)
Output: Competitive intelligence report, 1,500-2,000 words.
Format: Executive summary → per-competitor profiles → cross-analysis → recommendations.

Market Sizing & Forecasting

7. TAM/SAM/SOM Calculator

Role: Market sizing analyst
Task: Calculate TAM, SAM, and SOM for [product] in [geographic market].
Product: [describe]
Target customer: [describe]
Geography: [describe — global/US/specific region]
TAM (Total Addressable Market):
- Top-down: [industry reports, total market size]
- Bottom-up: [number of potential customers × average annual spend]
SAM (Serviceable Addressable Market):
- Subset of TAM we can realistically reach (by channel, geography, segment)
SOM (Serviceable Obtainable Market):
- Realistic market share in 3-5 years (based on competitive landscape, go-to-market, resources)
For each calculation:
1. Assumptions (with sources)
2. Formula used
3. Result (dollar value)
4. Confidence level (High/Med/Low)
5. What would change this number
Output: Market sizing model with sensitivity analysis.
Format: Table showing TAM → SAM → SOM funnel with assumptions documented.

8. Market Trend Analysis

Role: Market trends analyst
Task: Analyze [number] key trends shaping [industry/market] over the next 3-5 years.
Industry: [describe]
Trends to analyze: [list 5-8 trends — technological, demographic, regulatory, economic, behavioral]
For each trend:
1. Description (what's changing)
2. Evidence (data points, reports, adoption curves)
3. Impact timeline (already happening / 1-2 years / 3-5 years)
4. Market impact (who benefits, who's disrupted)
5. Implications for our company (what we should do)
6. Risk if we ignore (what happens if we don't act)
Output: Trend analysis report with strategic recommendations.
Format: Trend matrix (trend × impact × timeline) + narrative analysis.
Include: 3 "no-regret moves" (actions that pay off regardless of which trends materialize).

Research Reports

9. Research Report Executive Summary

Role: Research report writer
Task: Write an executive summary for a market research report on [topic].
Research objective: [describe]
Methodology: [describe — survey, interviews, focus groups, secondary research]
Sample: [describe — who, how many, when]
Key findings: [list 5-7 findings with supporting data]
Format:
1. Objective (1-2 sentences — what we wanted to learn)
2. Methodology (2-3 sentences — how we learned it)
3. Key findings (5-7 bullet points, each with a data point)
4. Recommendations (3-5 actionable recommendations, each tied to a finding)
5. Next steps (what additional research is needed)
Length: 500-700 words
Tone: Executive-level — conclusions first, evidence second, methodology last.
Output: Executive summary ready to lead a full research report.
Do NOT: Bury the lede. Start with what we learned, not how we learned it.

10. Customer Persona Builder

Role: Persona researcher
Task: Create [number] customer personas based on this research data.
Data: [paste — survey results, interview transcripts, behavioral data, demographics]
For each persona:
1. Name and archetype (e.g., "Efficient Emma — The Process Optimizer")
2. Demographics (age, role, company size, industry, geography)
3. Psychographics (values, motivations, fears, aspirations)
4. Job to be done (what they're trying to accomplish)
5. Pain points (3-5 specific frustrations, in their own words)
6. Decision criteria (how they evaluate solutions)
7. Information sources (where they learn, who influences them)
8. Objections (why they might not buy)
9. Quote (a real quote from research that captures their essence)
10. How to reach them (channels, messaging, content types)
Output: Full persona profiles, 1 page each, ready for marketing and sales alignment.
Include: "Day in the life" narrative for each persona (200 words).

Best Practices for Market Research AI Prompts

1. Always specify the methodology — quantitative surveys, qualitative interviews, secondary research, or mixed methods produce different output

2. Define the business decision — "we're deciding whether to enter market X" produces more focused analysis than "research market X"

3. Include sample characteristics — B2B decision-makers vs. B2C consumers produce fundamentally different insights

4. Ask for confidence levels — AI should flag where data is thin and assumptions are speculative

5. Verify all data points — AI may generate plausible-sounding statistics. Cross-check every number against source data.

Related: Check out our guides on ChatGPT prompts for content marketers and ChatGPT prompts for market researchers.