unknown
Unknown: Strategy Blind Spot Analysis
Surface hidden assumptions and strategic blind spots using the Known/Unknown 4-quadrant lens.
When to Use
- Strategy documents that look coherent but are hard to execute
- Plans with unclear risk boundaries
- Decision discussions where the team asks: "What are we missing?"
For requirement clarification, use vague. For content/form leverage decisions, use metamedium.
Core Lens
Classify insights into four quadrants:
- Known Knowns (KK): validated facts and working mechanisms
- Known Unknowns (KU): explicit uncertainties requiring experiments
- Unknown Knowns (UK): existing but underused assets/capabilities
- Unknown Unknowns (UU): unobserved risks requiring early-warning antennas
Default resource split (adjustable):
- KK 60%: systematize
- KU 25%: experiment
- UK 10%: leverage
- UU 5%: install antennas
Non-Negotiable Interaction Rule
Use AskUserQuestion for each round (R1/R2/R3). Ask with hypothesis options, not open free-text prompts.
3-Round Pattern
- R1 (3-4 questions): broad scan across all quadrants
- R2 (2-3 questions): drill into weakest link discovered in R1
- R3 (2-3 questions, optional): execution detail for top priorities
Cap total questions at 7-10.
Protocol
Phase 1: Intake
If a doc is provided, extract goals, assumptions, dependencies, and unstated constraints.
Phase 2: Context Sweep
Scan project context (README, plans, prior notes) to identify likely UK candidates (assets the team has but is not using).
Phase 3: Draft + R1
Create a provisional 4-quadrant draft, then run R1 AskUserQuestion (single batched call).
Phase 4: R2 Deepening
Design R2 only from R1 responses:
- Compound bottlenecks
- Surprising answers
- "Other" selections
Phase 5: R3 Execution (optional)
If needed, confirm owner, timeline, stop-criteria, and promotion conditions.
Phase 6: Playbook Output
Produce a structured playbook using references/playbook-template.md.
Rules
- Hypotheses as options
- R2 derives from R1, R3 derives from R2
- Include both
what to startandwhat to stop - Every KU gets promotion condition and kill condition
- Prefer small experiments over large speculative plans
Additional Resources
references/question-design.mdreferences/playbook-template.md