--- name: evidence-map description: Use when facts, claims, assumptions, missing evidence, and confidence levels need to be separated before diagnosis. Use when applying an evidence map, evidence ledger, fact-versus-assumption review, proof inventory, or evidence-strength assessment. license: Apache-2.0 --- # Evidence Map Use this skill to turn mixed user input into a clear evidence base before making a recommendation. ## Method Notes - Evidence mapping separates what is known, inferred, assumed, missing, and contradicted. - It is most useful early in a diagnostic, before strong hypotheses or action plans are formed. - The goal is not to demand perfect proof; it is to prevent weak evidence from carrying strong conclusions. ## Required Inputs Collect or infer these inputs before execution: - decision or diagnostic question - raw statements, observations, documents, or claims - source of each statement when available - current conclusion or proposed action - decision deadline or consequence if relevant If an input is missing, mark it as `missing`, state the assumption used, and add a validation action. ## When Not To Use Do not use when the facts are already clean and the main need is choosing among options. Use `decision-matrix`, `weighted-scorecard`, or `effort-impact-matrix` instead. ## Step-by-Step Execution | Step | Required input | How to execute | Output | |---|---|---|---| | Define the decision question | Decision, objective, current recommendation. | State the question the evidence must support or disprove. | Evidence question. | | Extract evidence items | Raw notes, claims, observations, artifacts. | Split compound statements into atomic items. Keep one fact or claim per row. | Evidence inventory. | | Classify item type | Each evidence item, source, timing. | Label each item as fact, direct observation, document, inference, assumption, hearsay, estimate, contradiction, or missing evidence. | Evidence type map. | | Rate strength and relevance | Source quality, recency, directness, decision linkage. | Rate strength as strong / medium / weak / missing and relevance as high / medium / low. Explain why. | Evidence rating table. | | Identify evidence gaps | Desired confidence, decision risk, weak or missing rows. | Name the 3-5 gaps most likely to change the conclusion. | Evidence gap list. | | Convert gaps into tests | Evidence gaps, available access, timeline. | Define the fastest practical way to confirm, disconfirm, or reduce uncertainty. | Validation actions. | ## Output Template ```markdown ### 1. Evidence Question - Decision / diagnosis to support: - Current conclusion being tested: - Decision consequence: ### 2. Evidence Map | Evidence item | Type | Source | Strength | Relevance | Supports / weakens which claim | Notes | |---|---|---|---|---|---|---| | | fact / observation / document / inference / assumption / hearsay / missing | | strong / medium / weak / missing | high / medium / low | | | ### 3. Evidence Gaps | Gap | Why it matters | Fastest way to check | Owner / actor | Deadline | |---|---|---|---|---| | | | | | | ### 4. Confidence Readout - Strongly supported: - Plausible but not proven: - Risky assumption: - Do not conclude yet: ### 5. Next Diagnostic Move - Next question or test: - What result would change the recommendation: ``` ## Quality Gate - Split mixed statements instead of giving one vague evidence grade. - Do not treat seniority, confidence, repetition, or relationship closeness as proof by itself. - Separate fact evidence strength from inference confidence. - Highlight contradictions rather than smoothing them over. - Keep wording professional and plain enough that a smart non-specialist can use it.