deep-research
Gate 3 - Web search, document analysis, reference class, gather evidence
What this skill does
# Gate 3: Deep Research **Purpose:** Gather evidence to fill knowledge gaps and ground the decision in facts. **Announce:** "Moving to Research Gate - let's gather evidence." ## Entry Criteria - Landscape Gate completed - Unknown-Knowables identified ## Research Sources Use all available sources: 1. **Conversation** - Ask human for internal knowledge, context, documents 2. **Documents** - Analyze provided reports, financials, memos 3. **Web research** - Search for market data, competitor info, industry analysis ## Process ### 1. Prioritize Research Questions Review Unknown-Knowables from Landscape Gate. Prioritize by: - Impact on decision (high impact first) - Feasibility of finding answer - Time available ### 2. Gather Evidence For each research question: **Ask human first:** - "Do you have internal data on [X]?" - "Is there a document that covers [Y]?" **Then search externally:** - Market data and trends - Competitor analysis - Industry reports - Academic research - News and recent developments ### 3. Find Reference Class (Kahneman) Critical for countering overconfidence. Ask: - What similar decisions have been made before? - What's the base rate of success for decisions like this? - What happened to others who made this choice? Example: "M&A deals in this sector have a 60% failure rate in achieving projected synergies." ### 4. Evaluate Evidence Quality For each piece of evidence, assess: - **Source credibility**: Who produced this? What's their bias? - **Recency**: Is this current or outdated? - **Relevance**: Does this directly apply to our situation? - **Methodology**: How was this data gathered? Use `deliberate-decisions:evidence-evaluation` for detailed assessment. ## Depth by Weight | Aspect | Light | Medium | Complete | |--------|-------|--------|----------| | Web research | None - user knowledge only | 1-2 targeted searches | Thorough multi-source | | Reference class | Ask user if known | Find basic reference | Deep reference class analysis | | Document review | Skip unless provided | Review key docs | Comprehensive review | | Evidence quality | Trust user input | Basic assessment | Full quality evaluation | **Light:** Rely on user's domain knowledge. Ask if they know the reference class. Skip external research unless user lacks knowledge. **Medium:** 1-2 targeted web searches for key unknowns. Find basic reference class data. Standard evidence assessment. **Complete:** Thorough external research. Multiple sources for key questions. Deep reference class analysis. Full evidence quality evaluation. ## Upgrade Detection **Suggest upgrading if:** - Reference class reveals higher risk than expected - Research uncovers surprising/contradictory information - Key unknowns remain after Light research - User's domain knowledge has significant gaps **Upgrade prompt:** ``` ⚠️ Research is revealing [unexpected findings]: - [Finding 1] - [Finding 2] This suggests the decision may be higher-stakes than initially framed. Current: [Weight] Suggested: [Higher Weight] - would allow [deeper research / more sources] Continue at current depth, or upgrade? ``` ## Output Create research notes: ```markdown # Research Notes: [Decision] ## Research Questions | Question | Priority | Status | |----------|----------|--------| | [Unknown-Knowable 1] | High | Researched | | [Unknown-Knowable 2] | Medium | Partial | ## Findings ### [Topic 1] **Finding:** [what we learned] **Source:** [citation] **Quality:** [high/medium/low] **Relevance:** [direct/indirect] ### [Topic 2] ... ## Reference Class **Similar decisions:** [examples] **Base rate:** [success rate for this type of decision] **Key lessons:** [what others learned] ## Remaining Gaps - [Questions we couldn't answer] - [Areas needing more research] ``` Save to: `docs/decisions/YYYY-MM-DD-<decision-slug>/research-notes.md` ## Exit Criteria - High-priority Unknown-Knowables researched (depth per weight) - Reference class identified (depth per weight) - Evidence quality assessed (depth per weight) - Remaining gaps documented ## Bias Watch Watch for: - **Confirmation bias** - Only seeking evidence that supports preferred option - **Availability bias** - Over-weighting easily found information - **Authority bias** - Accepting claims because of source prestige Actively search for **disconfirming evidence**. ## Next Gate Proceed to: `deliberate-decisions:calibration`
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