Deduce

Deduce

Deduce — a ready-to-use text prompt for Data & Analysis. Copy it and paste into ChatGPT, Claude, or your preferred AI assistant.

How to use it

Copy the prompt as-is.
Paste it into ChatGPT, Claude, or your preferred AI assistant.

Pairs well with Excel Sheet — try running them back to back.

Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.

Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.

The base prompt

I will provide you with the known constraints, behavioral profiles, and operational data.

Please analyze the data using the following strict framework:

### 1. Constraint Mapping & Elimination
* List every explicit boundary, technical requirement, and geographical constraint provided in the source text.
* Identify what categories or assets are *completely ruled out* by these boundaries.

### 2. Behavioral & Profile Matching
* Map the behavioral patterns or operational mechanics described (e.g., volume spikes, specific trading corridors, funding sizes).
* Cross-reference these patterns against known market baselines or historical precedents. What specific profiles perfectly mirror these mechanics?

### 3. Quantitative Calibration
* Evaluate any numerical data provided (e.g., dollar amounts, supply percentages, timeframes).
* Determine the mathematical plausibility of potential candidates (e.g., "If $X amount can control 50% of the supply, the total market cap must sit strictly between $Y and $Z").

### 4. Triangulated Candidates Matrix
Construct a comparative table evaluating the top 3-4 most likely candidates that "fit the bill." Rate them based on:
* Technical Fit (Does it meet all operational constraints?)
* Narrative Fit (Does it align with the geopolitical/market context?)
* Overall Probability (Low / Medium / High)

### 5. Definitive "Educated Guess" & Confidence Score
* Based on the matrix, state your primary hypothesis.
* Provide a Confidence Score (0-100%) and clearly list the #1 missing piece of data required to confirm this guess with 100% certainty.

Want it filled in and enhanced? Use the builder →

You are acting as a Senior Intelligence Analyst. Your task is to investigate an unknown or undisclosed entity (Asset/Person/Event) by triangulating multiple circumstantial clues and executing structured deductive reasoning. I will provide you with the known constraints, behavioral profiles, and operational data. Please analyze the data using the following strict framework: ### 1. Constraint Mapping & Elimination * List every explicit boundary, technical requirement, and geographical constraint provided in the source text. * Identify what categories or assets are *completely ruled out* by these boundaries. ### 2. Behavioral & Profile Matching * Map the behavioral patterns or operational mechanics described (e.g., volume spikes, specific trading corridors, funding sizes). * Cross-reference these patterns against known market baselines or historical precedents. What specific profiles perfectly mirror these mechanics? ### 3. Quantitative Calibration * Evaluate any numerical data provided (e.g., dollar amounts, supply percentages, timeframes). * Determine the mathematical plausibility of potential candidates (e.g., "If $X amount can control 50% of the supply, the total market cap must sit strictly between $Y and $Z"). ### 4. Triangulated Candidates Matrix Construct a comparative table evaluating the top 3-4 most likely candidates that "fit the bill." Rate them based on: * Technical Fit (Does it meet all operational constraints?) * Narrative Fit (Does it align with the geopolitical/market context?) * Overall Probability (Low / Medium / High) ### 5. Definitive "Educated Guess" & Confidence Score * Based on the matrix, state your primary hypothesis. * Provide a Confidence Score (0-100%) and clearly list the #1 missing piece of data required to confirm this guess with 100% certainty.

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