RCP-000-000-039-MARKET-GAP-DETECTIVE

{
“recipe_id”: “RCP-000-000-039”,
“recipe_name”: “Market Gap Detective”,
“version”: “v3.00a”,
“schema_version”: “1.1”,
“schema_profile”: “user-recipe”,
“authored_by”: “Cat (P067)”,
“source_of_truth”: “project/subprojects/SP10-recipe-build-out/phase3/recipe-39/RCP-039-SUPPLEMENTAL-CONTENT-v3_00a.txt”,
“audience_scope”: “AI EXECUTION GUIDANCE (NOT FOR HUMAN USERS)”,
“ai_to_ai_communication”: {
“purpose_and_positioning”: {
“type”: “prose”,
“body”: “This recipe is a v3.00a upgrade that integrates Deep Research reports as a required input for gap hypothesis generation. The v2.00a-R version correctly identified that the AI cannot investigate markets, but the three-lens framework was limited by having only the user’s existing knowledge as input. With DR reports, the three lenses now operate on real data: customer complaints, competitor reviews, demand patterns, and market structure information. The critical upgrade: gap hypotheses are now tagged with signal strength (Strong/Moderate/Weak) based on how much DR evidence supports them. This gives users a reliable way to prioritize which gaps to investigate first.”
},
“critical_behavioral_guidance”: {
“type”: “prose”,
“body”: “THE GAP-FOCUSED DR PROMPT DISTINCTION: RCP-038 generates DR prompts for niche EVALUATION (audience, competition, market size, viability). RCP-039 generates DR prompts for gap DETECTION (customer complaints, competitor weaknesses, unmet needs, missing solutions, underserved segments). The prompts should be clearly different even if the user runs them for the same niche. Gap-detection prompts should specifically ask for: negative customer reviews and common complaints, feature comparison gaps between competitors, forum discussions about what is missing, audience segments that describe themselves as underserved or overlooked, solution types that exist in adjacent markets but not in this one.”
},
“signal_strength_calibration”: {
“type”: “prose”,
“body”: “The three-tier signal system (Rule 12) is essential for honest gap assessment. STRONG SIGNAL: Multiple DR reports mention this gap independently, specific data points cited, named audience segments, gap appears in both competitor analysis and customer feedback. MODERATE SIGNAL: One DR report addresses this with some specificity, general themes that could indicate a gap but lack concrete data, gap appears in one data source but not confirmed by others. WEAK SIGNAL: No specific DR evidence but general market patterns suggest gap might exist, AI recognizes a logical gap based on what IS covered (absence evidence), user’s hunch aligns with general knowledge but DR did not surface supporting data. Always present the signal strength prominently.”
},
“three_lens_framework_with_dr_data”: {
“type”: “prose”,
“body”: “Each lens operates differently with DR input. Lens 1 (Underserved Audiences): Look for audience segments mentioned in DR reports described negatively or that appear in market sizing data but NOT in competitor targeting — these are structurally underserved. Lens 2 (Unmet Needs): Extract pain points and complaints relating to UNSOLVED problems, not just poorly-solved ones. A complaint about pricing is about the current solution; a complaint about ‘no one addresses [specific issue]’ is about an unmet need. Lens 3 (Missing Solutions): Map the solution format landscape from DR data and identify format gaps, price-point gaps, channel gaps, and accessibility gaps.”
},
“hypothesis_vs_finding”: {
“type”: “prose”,
“body”: “Even with DR evidence, a gap hypothesis is still a hypothesis. The DR reports themselves may contain errors, outdated information, or biased samples. The language must remain appropriately tentative: ‘Your research suggests that [audience] may be underserved based on [evidence]’ — NOT ‘Your research proves that [audience] is underserved.’ ‘Review patterns indicate that [need] is not well-addressed’ — NOT ‘The data confirms that [need] is unmet.'”
},
“investigation_agenda_with_dr_foundation”: {
“type”: “prose”,
“body”: “The v3.00a investigation agenda is more targeted than v2.00a-R because the DR data tells us WHERE to look and WHAT to look for. Instead of generic ‘observe communities,’ the agenda should specify which communities the DR reports identified, what search terms surfaced the most complaints, and which competitor reviews showed the strongest gap signals. The investigation focuses on what DR COULD NOT answer: Are the complaints representative or outliers? Is the underserved audience large enough to build a business around? Would they pay for a solution? Can you actually deliver what is missing?”
},
“series_context”: {
“type”: “prose”,
“body”: “If the user ran RCP-038 first and brings those DR reports along with new gap-focused reports, the AI should use ALL available research. The 038 reports provide market context. The 039 reports provide gap signals. Together they give a more complete picture. The investigation agenda connects naturally to RCP-040 (Niche Persona Generator). If investigation confirms a gap, building detailed profiles of the underserved audience is the next logical step. The AI should mention this but always emphasize that investigation comes first.”
},
“common_user_patterns”: {
“type”: “prose”,
“body”: “Users who want to skip DR because they did it for 038: Generate new gap-focused prompts. The 038 prompts targeted niche evaluation, not gap detection. They can bring 038 reports as supplementary context, but gap-specific prompts will surface different intelligence. Users with very strong existing knowledge: Generate fewer but more targeted DR prompts that focus on confirming or challenging the user’s existing hypotheses rather than broad scanning. Users who want every gap investigated: Redirect to prioritization — investigating 1-2 strong-signal hypotheses deeply beats superficially checking 6. Users who conflate DR evidence with confirmation: Gently reinforce that DR reports are secondary research — real confirmation requires direct observation and conversation. Users whose DR reports reveal no clear gaps: Be honest — suggest either refined DR prompts or direct market observation as next steps.”
}
},
“lessons_learned”: []
}

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