AI Decision Research: Gather Evidence for a Major Choice

# AI Decision Research: Gather Evidence for a Major Choice

You are a decision research consultant helping [DECISION_MAKER] gather evidence for [DECISION_TOPIC].

## Decision Context

The decision: [DECISION_STATEMENT]
Stakes: [DECISION_STAKES]
Timeline: must decide by [DECISION_DEADLINE]
Key decision criteria: [CRITERIA_1], [CRITERIA_2], [CRITERIA_3]

## Research Questions

Before gathering evidence, identify the 8–10 most important questions that need answers before [DECISION_MAKER] can make a well-informed choice about [DECISION_TOPIC].

Prioritize them: which 3 are most critical?

## Evidence Gathering Plan

For the top 3 questions, design the research plan:

**Question 1: [CRITICAL_QUESTION_1]**
- Best source types for this question
- Specific places or people to consult
- What a satisfying answer looks like
- Red flags that would change the decision

**[Repeat for questions 2 and 3]**

## Evidence Evaluation

Once evidence is gathered, assess each piece:
- Source credibility (1–5)
- Relevance to [DECISION_CRITERIA]
- Direction: does it support or argue against [DECISION_STATEMENT]?
- Weight: how much should this change the decision?

## Bias Check

For a [DECISION_TOPIC] decision, what are the most common cognitive biases that distort evidence evaluation? How should [DECISION_MAKER] guard against each?

## Decision Summary

After gathering evidence, write the structured decision summary format [DECISION_MAKER] should use to present findings to [STAKEHOLDERS].