Analyze [MATERIAL OR DATA] to answer [ANALYSIS QUESTION] for [AUDIENCE AND DECISION]. The scope is [SCOPE AND DEFINITIONS]. Use this evidence and source context: [SOURCES OR CONTEXT]. My constraints are [CONSTRAINTS]. Do not summarize everything equally. Begin by restating the question in operational terms: what would count as evidence for, against, or insufficient to answer it. Then produce: 1. An executive finding of 150 words or fewer that answers the question at the appropriate confidence level. 2. A structured analysis organized by the most relevant dimensions, not by the order of the source material. For each major claim, state the evidence, reasoning, alternative explanation, and confidence level.
3. A claim-evidence table with columns: claim, supporting material, source or location, limitation, and confidence. Quote only short passages where exact wording matters; otherwise paraphrase faithfully. 4. A separate section for patterns, anomalies, contradictions, missing data, and assumptions that could change the conclusion. 5. A conclusion that distinguishes recommended action, observation, and unresolved question. Include the next 3 evidence-gathering steps in priority order. Use citations or source labels that let me trace every material factual claim back to the supplied material. Do not manufacture sources, calculations, quotes, causal links, sample sizes, or certainty. If sources conflict, describe the conflict and assess relevance, recency, method, and possible incentives rather than choosing silently. Before answering, run two checks: ensure every central conclusion has supporting evidence or an explicit uncertainty label; and flag any claim that extends beyond the supplied material. Ask up to 3 clarifying questions only if a required input is missing.
Fill in
| Placeholder | What to enter | Example |
|---|---|---|
| [MATERIAL OR DATA] | Paste or describe the text, notes, dataset, survey results, or other material to analyze. | Thirty customer interview notes and a spreadsheet of 412 trial sign-ups from April through June |
| [ANALYSIS QUESTION] | State the precise question the analysis should answer. | Why are trial users abandoning setup before connecting their first data source? |
| [AUDIENCE AND DECISION] | State who will read the analysis and what decision or use it supports. | Product manager deciding the next onboarding experiment |
| [SCOPE AND DEFINITIONS] | Define the time range, population, geography, terms, and exclusions. | Self-serve trials in the United States; abandonment means no connection completed within seven days |
| [SOURCES OR CONTEXT] | Provide source names, links, methods, dates, or context needed to judge the evidence. | Interview notes identify participants by code; funnel events come from Amplitude and exclude employees |
| [CONSTRAINTS] | State limits such as length, approved sources, required framework, or confidentiality. | Maximum 1,000 words; do not infer causation from the funnel alone |
How to use
- Paste the underlying text, table, or source excerpts whenever possible; an analysis cannot be more reliable than its evidence.
- Define the decision the reader must make, because this determines which findings deserve prominence.
- Check the claim-evidence table for conclusions that rest on one weak source, a correlation, or an unstated assumption.
- Follow up with: “Challenge the strongest conclusion as a skeptical reviewer and revise the confidence levels only where the evidence warrants it.”
Variations
Text analysis
Use when examining an article, report, transcript, or set of documents.
Analyze this [TEXT OR DOCUMENT SET] for [QUESTION]. My audience is [AUDIENCE], and the relevant context is [CONTEXT]. Identify the author’s central claims, evidence types, assumptions, framing choices, omissions, and internal contradictions. Distinguish direct statements from inferences. Produce a short argument map, then a table linking each major claim to supporting passages and limitations. Assess credibility using authorship, date, purpose, method, and corroboration needs. Do not supply facts beyond the material without labeling them as outside context. Ask up to 3 questions only if essential information is missing.
Data findings
Use when interpreting a dataset or performance report.
Analyze [DATASET OR METRICS] to answer [BUSINESS OR RESEARCH QUESTION] for [DECISION MAKER]. Define the denominator, time period, segments, and success metric using [DATA DEFINITIONS]. Report descriptive findings before proposing explanations. Show important comparisons with counts as well as percentages when available, flag missing values and selection bias, and distinguish correlation from causation. Produce a findings table, anomalies, plausible hypotheses ranked by evidence, and the next analysis required to test each hypothesis. Do not invent statistical significance, calculations, or causal effects. Ask up to 3 questions only if required.
Competitor review
Use when comparing products, companies, or market positions.
Compare [COMPANY OR PRODUCT A] with [COMPANY OR PRODUCT B AND OTHERS] for [BUYER OR DECISION]. Use only [APPROVED SOURCES OR MATERIALS] as of [DATE]. Evaluate target user, core job, pricing and packaging, product capabilities, distribution, positioning, proof points, and switching costs. Separate verified facts from analyst inference and mark unknowns. Produce a comparison table, meaningful differentiators, parity areas, and risks in relying on public claims. Do not invent features, customer counts, revenue, or pricing. Ask up to 3 questions only if inputs are missing.
Tips
- Write the question so it names a decision or proposition; “analyze this” produces a summary, while “what evidence supports changing onboarding step two?” produces a testable analysis.
- Keep source date and method beside every important finding, because an authoritative source can still be outdated or poorly matched to the question.
- Do not let an average hide a segment: inspect meaningful groups, outliers, and denominator changes before drawing a trend conclusion.
- Use confidence labels tied to evidence quality, not to how plausible a story feels.
FAQ
Can AI analyze a spreadsheet without making up calculations?
It can help interpret supplied outputs, but ask it to show formulas or calculations and verify them in your spreadsheet or analysis tool.
What is the difference between analysis and summary?
A summary restates material. Analysis evaluates evidence, identifies relationships and limits, and answers a defined question.
How should I handle conflicting sources?
Keep the disagreement visible, then compare source method, date, incentives, scope, and directness. Do not average incompatible claims into a false consensus.