Reduce the length, not the evidence.
Summarize research around the original question while preserving important statistics, source context, contradictory findings, limitations and uncertainty.
Act as an experienced research analyst and executive-summary writer. TASK: Turn the research material provided below into a clear, accurate and decision-useful research summary. RESEARCH MATERIAL: [Paste research notes, reports, articles, interview findings, data, source summaries or other research material.] RESEARCH TOPIC: [What is the research about?] RESEARCH OBJECTIVE: [What question or decision was the research intended to support?] AUDIENCE: [Who will read the summary?] OUTPUT PURPOSE: [Example: management decision, business plan, presentation, report, article, project update.] DESIRED LENGTH: [Brief / Standard / Detailed] IMPORTANT QUESTIONS: [List questions the summary must answer.] IMPORTANT SOURCES: [List any sources that should receive particular attention.] DATE / TIME SCOPE: [Current, specific period, historical, etc.] GEOGRAPHIC SCOPE: [Country, region, global or not applicable.] SPECIAL REQUIREMENTS: [Anything else the summary must include.] SUMMARY REQUIREMENTS: 1. RESEARCH OBJECTIVE Begin by identifying: - the research topic - primary objective - main question - relevant scope Do not broaden the research beyond the supplied material. 2. EXECUTIVE SUMMARY Provide a concise overview covering: - most important findings - major conclusion - significant risks or uncertainties - most important implication A reader should understand the central outcome without reading the entire report. 3. KEY FINDINGS Extract the most important findings. For each finding include: - Finding - Evidence - Why it matters - Confidence level Prioritize findings according to their relevance to the research objective. 4. EVIDENCE Distinguish between: - verified facts - reported findings - estimates - interpretations - assumptions - opinions Do not convert estimates or opinions into facts. 5. NUMERICAL FINDINGS Preserve important: - statistics - percentages - prices - dates - quantities - market figures - financial figures Do not alter numbers during summarization. Where relevant include: - units - currency - geographic scope - time period 6. SOURCE ATTRIBUTION Preserve source attribution for important findings when available. Do not remove attribution in a way that makes: "Company X estimates..." appear as: "It is proven that..." 7. SOURCE QUALITY Where sufficient information is available, distinguish between: - strong primary evidence - credible secondary evidence - limited evidence - anecdotal evidence - unverified claims Do not automatically treat all supplied sources as equally reliable. 8. AGREEMENT BETWEEN SOURCES Identify findings supported by multiple credible sources. Explain where evidence appears consistent. 9. CONFLICTING EVIDENCE If sources disagree: - identify the disagreement - show the different findings - compare dates and scope - compare source quality - explain possible reasons for the difference Do not hide contradictory evidence simply to create a cleaner summary. 10. TRENDS Identify important patterns or trends. For each trend explain: - direction - supporting evidence - time period - significance - uncertainty 11. CUSTOMER / STAKEHOLDER INSIGHTS Where relevant summarize: - customer needs - behaviors - pain points - preferences - objections - stakeholder concerns Separate recurring patterns from isolated comments. 12. COMPETITIVE FINDINGS Where relevant summarize: - important competitors - alternatives - positioning - pricing - strengths - weaknesses - market gaps Include only information supported by the research material. 13. OPPORTUNITIES Identify opportunities supported by the research. For each opportunity explain: - evidence - potential value - uncertainty - what still requires validation Do not invent opportunities merely to make the summary more positive. 14. RISKS Identify significant: - market risks - operational risks - financial risks - competitive risks - regulatory risks - evidence-quality risks Prioritize risks according to relevance. 15. INFORMATION GAPS Identify questions the research did not answer. Include: - missing data - weak evidence - outdated information - conflicting findings - assumptions requiring validation 16. IMPLICATIONS Explain what the findings mean for the research objective. Focus on: - decisions - trade-offs - actions - priorities - potential consequences Do not make recommendations that are unsupported by the evidence. 17. RECOMMENDATIONS If recommendations are appropriate, base each recommendation on a research finding. Use: Recommendation: Evidence: Reason: Priority: Confidence: If the evidence is insufficient for a recommendation, say so. 18. NEXT RESEARCH Recommend additional research only where it could materially improve the decision. Prioritize: - highest-value information gaps - uncertain assumptions - conflicting evidence - missing current data Avoid recommending research merely for completeness. 19. CONFIDENCE ASSESSMENT For major conclusions use: HIGH CONFIDENCE Supported by strong and consistent evidence. MEDIUM CONFIDENCE Reasonably supported but with limitations. LOW CONFIDENCE Evidence is limited, indirect or conflicting. INSUFFICIENT EVIDENCE A responsible conclusion cannot yet be reached. 20. FINAL CONCLUSION End with a concise answer to the original research question. State: - what the evidence supports - what it does not establish - biggest uncertainty - most important implication OUTPUT FORMAT: 1. Research Objective 2. Executive Summary 3. Key Findings 4. Evidence Overview 5. Important Data & Statistics 6. Areas of Agreement 7. Conflicting Evidence 8. Key Trends 9. Customer / Stakeholder Insights 10. Competitive Findings 11. Opportunities 12. Risks 13. Information Gaps 14. Implications 15. Recommendations 16. Further Research 17. Confidence Assessment 18. Final Conclusion IMPORTANT: - Use only the research material provided or evidence actually retrieved during the research task. - Do not invent missing facts, sources, quotations or statistics. - Preserve important numerical values accurately. - Clearly separate facts, estimates, interpretations and assumptions. - Do not hide conflicting evidence. - Do not exaggerate the strength of a conclusion. - If the available evidence cannot answer the research question, state that clearly. - Prioritize useful findings instead of reproducing every research note. - Keep the summary aligned with the stated audience and decision.
Use the prompt effectively.
Add the research material
Paste your notes, source summaries, findings or report content. The prompt should summarize evidence you actually have rather than generate missing research.
State the original question
Tell the AI what the research was intended to answer so it can prioritize findings that matter to that decision.
Preserve evidence and uncertainty
Important numbers, source attribution, conflicting findings and evidence limitations should survive the summarization process.
Finish with implications
A useful research summary should explain what the findings mean without making recommendations that go beyond the evidence.
Turn research findings into a decision-ready summary.
Topic: Demand for inventory-control services among small retailers.
Objective: Decide whether to test a paid inventory setup service.
Research material: Interviews with 12 retailers, competitor pricing notes and secondary research on small-business digital adoption.
Audience: Business owner.
Length: Brief.
Executive summary: The research indicates recurring stock-control difficulties among the interviewed retailers, but the small interview sample is not sufficient to estimate market-wide demand.
Key finding: Several businesses reported relying heavily on spreadsheets or manual records and described recurring problems with stock accuracy.
Commercial uncertainty: Evidence that businesses experience the problem is stronger than evidence that they are willing to pay for an external setup service.
Recommendation: Conduct a small paid-service test or pricing experiment before investing significantly in service development.
Confidence: Medium confidence regarding the existence of the operational problem; low confidence regarding market-wide willingness to pay.
Create stronger research summaries.
Summarize around the question
A strong research summary prioritizes evidence that helps answer the original question instead of shortening every section equally.
Keep uncertainty visible
Removing limitations can make weak research look stronger than it really is. Preserve sample sizes, conflicting evidence and important information gaps.
Do not lose source attribution
There is an important difference between an independent finding and a claim made by a company, participant or industry organization.