Analysis & Research prompts · My Copyprompt

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Analysis & Research

Summarize, compare, decision matrices, research

13 prompts

Analysis prompts structure comparisons, literature summaries, decision matrices, and research briefs. They constrain the model to cite assumptions, score options, and surface risks instead of producing vague summaries.

Ideal for product research, vendor selection, and competitive teardowns. Copy the prompt, paste your source material, and ask the model to follow the embedded rubric.

Run a PESTLE analysis for: {industry_or_company} GEOGRAPHIC FOCUS: {country_or_region}TIME HORIZON: {12_months / 3_years / 5_years} FOR EACH OF THE 6 LENSES, GIVE:- **Political**: 2 forces shifting the regulatory or political environment- **Economic**: 2 macro factors (rates

PESTLE Analysis (Macro Environment)

You are an expert analyst. Read the document below and summarize it for me. ```{paste_full_document}``` MY ROLE: {your_role}MY DECISION: {what_you_need_to_decide_after_reading}

Summarize This Long Document (with Actions)

I have multiple interview transcripts. Find the patterns. TRANSCRIPTS:```{paste_or_describe}``` OUTPUT:

Extract Themes From Interview Transcripts

Help me decide between these options. WHAT I'M PICKING: {category_e.g._database / framework / CRM}OPTIONS: {option_a}, {option_b}, {option_c}MY CONTEXT: {team_size, scale, constraints}WHAT MATTERS MOST: {top_3_criteria} Build me a 6-row × 4-column decision matrix:

Decision Matrix for Comparing Tools

Synthesize the sources below into ONE coherent view, with attributed claims. SOURCES:```{paste_source_1}``` ```

Synthesize Multiple Sources Into One View

I have a pile of NPS / customer feedback comments. Help me synthesize them into a small set of insights I can actually act on. COMMENT VOLUME: {how_many}COMMENT FORMAT (what fields you have): {nps_score / comment / role / segment / etc.}WHO ASKED FOR THIS ANALYSIS: {leadership

ChatGPT (GPT-4)

Synthesize 100s of NPS Comments Into Action

ChatGPT (GPT-4)

Help me diagnose which of my customers are most likely to churn — and what to do about it — before they cancel. BUSINESS MODEL: {SaaS_subscription / usage-based / B2C / B2B}CUSTOMER SEGMENT we're focused on: {SMB / mid-market / enterprise}DATA AVAILABLE per customer: {tenure /

ChatGPT (GPT-4)

Diagnose Customer Churn Risk Before the Cancellation Email

ChatGPT (GPT-4)

Extract structured data from the unstructured text below. SOURCE TEXT:```{paste}``` SCHEMA I NEED:

Extract Structured Data From Messy Text

Act as a sharp consultant. Read my plan and tell me what I'm missing. MY PLAN:{paste_plan_or_describe} GOAL: {what_the_plan_is_supposed_to_achieve}CONSTRAINTS: {budget, time, team}

What Am I Missing in This Plan?

Compare these two sources head-to-head. SOURCE A:```{paste_or_summarize}``` SOURCE B:

Compare Two Papers / Reports

I want to learn about: {topic} MY GOAL: {what_you_want_to_be_able_to_do_after}CURRENT LEVEL: {beginner / intermediate / expert}TIME I HAVE: {realistic_hours} Design a research path:1. **Foundational** (3-5 must-knows; for each, 1 specific resource + why it matters)

Research Rabbit-Hole Map

Design a survey to answer: {research_question} AUDIENCE: {who_is_taking_it}TARGET RESPONSE COUNT: {n}MAX TIME TO COMPLETE: {minutes} WRITE 8-12 QUESTIONS THAT:- Mix closed (Likert, multi-select, ranking) and ONE open-ended

Design Survey Questions That Don't Lie

Review my A/B test design before I run it. Catch the mistakes that show up post-launch. HYPOTHESIS in 1 sentence: {if_X_then_Y_because_Z}CONTROL (current experience): {what_users_see_today}VARIANT (proposed change): {what_you're_testing}PRIMARY METRIC: {one metric — exact nam

ChatGPT (GPT-4)

A/B Test Design Checklist Before You Hit Run

ChatGPT (GPT-4)