the skill
Boardroom STORM Research
Run multi-perspective deep research using an adaptation of Stanford STORM. Use when the user says "run Boardroom STORM", "deep research on", "research this from multiple angles", "multi-perspective analysis", "run STORM on", "diligence report on", "map this market", "research [topic] for a memo", or asks for research that requires perspective diversity, source grounding, contradiction mapping, and outline-first synthesis. Do NOT trigger for single factual lookups, quick competitive checks, or tasks better handled by idea-validation, fundraising, or product skills alone.
Turn an ambiguous research question into a decision-grade memo by running multi-perspective interviews, sourcing every claim, and writing only after the outline is stable.
Based on Stanford STORM: Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking.
Core attribution:
- Stanford STORM paper: https://arxiv.org/abs/2402.14207
- Stanford OVAL STORM repository: https://github.com/stanford-oval/storm
- Co-STORM paper: https://aclanthology.org/2024.emnlp-main.554/
Triggers
Use this skill when the user mentions:
- "Run Boardroom STORM on [topic]"
- "Deep research on [topic]"
- "Multi-perspective analysis of [topic]"
- "Run STORM on [topic]"
- "Research [topic] from multiple angles"
- "Diligence report on [company/category]"
- "Map this market"
- "Research [topic] for a memo / thesis / article"
- "I need a decision-grade analysis of [topic]"
- "What are the bull and bear cases for [topic]?"
- Any research request where the user wants perspective diversity, contradiction mapping, or source-grounded synthesis rather than a single-perspective answer
Do NOT trigger when:
- The user needs a single factual answer (use web search)
- The user is validating an early-stage idea without needing multi-source depth (use idea-validation)
- The user needs a pitch deck or fundraising materials (use fundraising, but Boardroom STORM can feed into it)
- The user needs a PRD or product roadmap (use product, but Boardroom STORM can provide the research layer)
- The user wants a pre-mortem on a plan they already have (use future-failure-audit)
If the research output will feed into a downstream deliverable (pitch deck, PRD, GTM plan, failure audit), note the handoff at the end of the final output.
Example topics
Quality bar
Apply these standards throughout every stage, not just at the end.
A successful Boardroom STORM output should:
- Surface non-obvious questions, not just summarize common knowledge.
- Show where informed perspectives disagree and why.
- Separate facts from interpretations from implications.
- Tie major claims to sources when possible.
- Produce an actionable decision memo, not a generic overview.
- Make uncertainty useful by turning it into next steps.
Writing quality rules for the draft and final output:
- No vague superlatives: avoid "transformative," "game-changing," "rapidly evolving," "significant growth," "innovative approach," "cutting-edge" unless the evidence justifies the specific word.
- No filler transitions: avoid "it's worth noting," "interestingly," "moreover," "furthermore," "in today's landscape."
- Prefer concrete over abstract: "47% YoY growth" beats "strong growth." Name the source.
- Use an investor-grade, practical tone: confident but not promotional, direct but not blunt.
- Vary sentence length. Short sentences for emphasis. Longer ones when complexity requires it.
Operating principles
- Separate research from writing. Never draft before the outline is source-mapped.
- Generate perspectives before retrieving. The questions shape the search, not the reverse.
- Use source-grounded simulated interviews to produce better questions.
- Build a source ledger before synthesis. STORM is retrieval plus question asking, not brainstorming with academic branding.
- Build a source-mapped outline before drafting. The Stanford implementation explicitly separates pre-writing from writing.
- Maintain a contradiction map and uncertainty ledger throughout.
- Run a Co-STORM-style moderator pass before finalizing.
- Mark unsupported claims as [Unverified] rather than presenting them as facts.
- Optimize for decision usefulness, not encyclopedic completeness.
- Never let one persona dominate. The value comes from discourse among perspectives, not a single authoritative voice.
- Never confuse Claude's confidence with evidence. The user must inspect citations and decide whether evidence is adequate for their decision.
Choose research depth
Before starting, determine the appropriate depth. If the user specifies a mode, follow it. Otherwise, default to Full Research for serious decisions and Quick Research for time-constrained or narrower questions.
For Full and Board-grade research with 7+ perspectives, batch interviews into groups of 3-4 perspectives per pass to avoid context degradation. Complete one batch, extract key claims, then proceed to the next batch with the accumulated claim set as context.
Claude tool guidance
Use Claude's capabilities strategically at each stage:
Default workflow
Stage 0: Research charter
If the user has not provided enough context, make reasonable assumptions and proceed. Do not stall unless the task is unsafe or impossible. State assumptions clearly so the user can correct them.
Create a research charter with:
- Topic
- Decision context (what decision this research will inform)
- Audience
- Time horizon
- Geography or segment
- Source hierarchy (what sources to prioritize)
- Output format
- Research depth (Quick / Full / Board-grade)
- Key assumptions
Restate the charter in 8 bullets and confirm before proceeding.
Stage 1: Perspective discovery
Generate perspectives based on the chosen research depth (4-5 for Quick, 7-10 for Full/Board-grade).
Always consider these lenses and select the most relevant:
- Practitioner/operator who deals with this daily
- Customer/user or buyer
- Incumbent competitor
- Startup challenger
- Regulator or policy expert
- Economist/business model analyst
- Technical architect or engineer
- Skeptic/bear-case analyst
- Historian/comparable-cycles analyst
- Investor/capital allocator
For each perspective, produce:
- Persona name (specific, not generic — "Series B fintech CFO" not "finance person")
- Why this lens matters for the decision
- What this persona knows that others miss
- Five sharp questions this persona would ask
- Three trusted source types for this persona
- One blind spot this persona is likely to have
End with a ranked list of the 12 highest-leverage questions across all perspectives.
Stage 2: Source scout
Before answering any research question, build a source plan by perspective.
When web search or research mode is available, gather sources and create a source ledger with:
- Source title
- URL or file reference
- Publisher/author
- Date
- Perspective(s) informed
- Key claims or data points
- Credibility rating: High / Medium / Low
- Freshness rating: Current / Potentially stale / Historical
- Bias or limitation notes
If web access is unavailable, ask the user to provide sources or proceed with clearly marked assumptions and no factual certainty. State explicitly: "No web access available. All claims below are based on training data and should be independently verified."
Stage 3: Simulated expert interviews
For each perspective, simulate an interview between:
- Interviewer: rigorous analyst
- Expert: the persona, grounded in the source ledger
Interview depth by research mode:
- Quick Research: 3 turns per interview
- Full Research: 4-6 turns per interview
- Board-grade: 6 turns per interview, plus follow-up interviews on major contradictions
For 7+ perspectives, batch into groups of 3-4. Complete one batch, extract claims, then run the next batch with accumulated claims as context.
Rules:
- Ask one question at a time.
- Make each follow-up build on the previous answer.
- Cite sources for factual claims when available. Say [Unverified] when not.
- Distinguish facts, interpretations, and implications.
- End each interview with: strongest claim, weakest claim, what would change the expert's mind, and the question nobody else is asking.
Stage 4: Contradiction map
Using the interview briefs and source ledger, identify:
- Direct contradictions: where two perspectives make incompatible claims
- Evidence asymmetries: where one side has stronger evidence than another
- Incentive conflicts: who benefits if a given interpretation becomes accepted
- Timing conflicts: what may be true now but false in 12-24 months
- Definition conflicts: where people use the same words to mean different things
- Missing perspectives: who was not represented and why that could matter
- Unknown unknowns: questions that emerged only because the perspectives interacted
Use this table:
End with:
- What all perspectives agree on
- What nobody adequately addressed
- Five facts most likely to change the conclusion
Stage 5: Source-mapped outline
Create a hierarchical outline before drafting.
Include:
- Working title
- One-sentence thesis
- Reader promise (what the reader will be able to decide after reading)
- Detailed outline with section descriptions
- Claims under each section
- Sources supporting each claim
- Claims excluded because evidence is weak
- Open questions to verify before drafting
Do not write the full draft until this outline is complete.
Stage 6: Draft
Draft from the approved outline only.
Requirements:
- Follow all writing quality rules from the Quality bar section above.
- Cite factual claims when sources are available.
- Name uncertainty explicitly — do not hedge vaguely.
- Include concrete implications for founders, entrepreneurs/operators, builders/product leaders, and investors when relevant.
- Use tables for comparisons, use cases, risks, and action plans.
Recommended structure:
- Executive thesis (2-3 sentences)
- Why now
- What the evidence says
- Contradictions and open questions
- Persona-specific implications
- Action checklist
- Final decision memo or conclusion
Stage 7: Co-STORM moderator pass
Before finalizing, act as a skeptical moderator. The moderator's job is to find what the research missed.
Check for:
- Missing stakeholder perspective
- Overweighted source cluster (too many claims from one source)
- Unsupported causal claim
- Over-association of unrelated facts
- Stale or geography-specific evidence presented too broadly
- Incentive misread
- Technical feasibility gap
- Regulatory or compliance blind spot
- Competitive response not considered
- Investor-relevant downside case
Present findings to the user before applying fixes. Format as:
Moderator findings:
- [Finding ranked by importance]
- ...
Revised thesis (if needed)
Confidence scores for the most important claims (High / Medium / Low with reasoning)
Final uncertainty ledger (see template below)
Diligence questions a serious investor or board member would ask next
Ask the user: "Should I incorporate all fixes, or do you want to adjust any before I finalize?" If the user does not respond or says to proceed, incorporate all fixes.
Stage 8: Final output
Finalize only after incorporating the moderator pass.
Include:
- One-page executive memo or executive summary at the top
- Persona-specific action table (see template below)
- "What would change this conclusion" section
- "Next 7 days" action plan when applicable
- Source and claim audit table when citations are available
Before delivering, confirm:
- The draft answers the original decision context from the charter.
- No major claim lacks support or a caveat.
- Contradictions are explicit rather than buried.
- The conclusion is actionable, not just informative.
If the research output should feed into a downstream skill (fundraising deck, PRD, GTM plan, failure audit), note the handoff: "This research can serve as input for [skill]. Say 'now run [skill] using this research' to continue."
Output templates
Persona-specific action table
Uncertainty ledger
Diligence questions
Group diligence questions by:
- Market
- Customer
- Product/technical
- Competitive
- Regulatory/legal
- Financial/business model
- Team/execution
- Timing
Related skills
Boardroom STORM produces research that often feeds into other workflows: