One workspace for the whole problem.
A problem, worked through.
Starting question
Should we expand into Poland?
Better question
Which two cities can support a profitable pilot before we commit to a full launch?
Deciding uncertainty
Customer acquisition cost is the deciding unknown. It needs to be measured in market, not inferred from a model.
Conditional outcome
Pilot first
Run a 90-day pilot in two cities, then compare acquisition cost with the break-even threshold.
Illustrative case, not a real customer result or an outcome produced by a working RAZOOM system.
Inside a Case.
- 01
Case Workspace
Keep the problem and its context together.
Start with the problem, its objective and its constraints. Add relevant documents, assumptions and questions so the work has a clear reference point.
- Objective, constraints and any choice at stake stated explicitly
- Relevant context available throughout the work
- Clear record of what changed and why
Concept preview - 02
Problem Graph
See which questions depend on each other.
Map the questions that need answering and the links between them. When a fact or assumption changes, see which conclusions need another look.
- Subproblems linked by what depends on what
- Critical path through the problem made visible
- Changes propagate to dependent conclusions
Concept preview - 03
Evidence Ledger
Know where each fact came from.
Store sources, data and measurements alongside notes about their reliability. Keep what the evidence says distinct from what you infer.
- Source and reliability recorded for each item
- Interpretations linked to the evidence behind them
- Gaps in evidence visible at a glance
Concept preview - 04
Claim Graph
Follow a conclusion back to its evidence.
Connect each conclusion or recommendation to the claims and evidence that support it. See where missing or weak support could change the Case outcome.
- Conclusions and recommendations traceable to evidence
- Unsupported claims flagged for review
- Conclusions that depend on a single claim made visible
Concept preview - 05
Analysis Workspace
Inspect the inputs behind the result.
Bring calculations, statistical analyses and simulations into the Case. Keep inputs and assumptions with the results so you can check or rerun the work.
- Calculations and simulations with checkable results
- Inputs and assumptions stated with every result
- Re-run when evidence changes
Concept preview - 06
Scenario Lab
Compare outcomes when assumptions change.
Test a choice under several plausible conditions. Identify the point at which another option becomes preferable.
- Optimistic, expected and adverse scenarios side by side
- Decision thresholds made explicit
- Sensitivity to the assumptions that matter most
Concept preview - 07
Decision Record
Keep the decision and the reasons behind it.
Record the choice, its supporting evidence, assumptions and unresolved objections. Use that record to revisit the decision when circumstances change.
- Rationale and assumptions captured at decision time
- Dissenting analysis preserved
- Conditions that would reopen the decision
Concept preview
Choose the depth your problem needs.
Quick
For bounded questions.
- Diagnose
- Reason
- Answer
Check that the question is clear, then work toward a direct answer with supporting reasons.
Deep
For difficult problems.
- Decompose
- Research
- Analyze
- Challenge
- Synthesize
Break the problem into parts, research or calculate the critical unknowns, and test the conclusion against objections.
Investigation
For consequential problems that evolve over time.
- Living Case
- New evidence
- Re-analysis
- Case outcome
Keep the Case open for new evidence, measurements or experiments, then update the analysis when they arrive.
Methods for your field.
Strategy Pack
Market entry, competitive positioning, portfolio and growth decisions.
- Market sizing discipline
- Competitive response modeling
- Entry option comparison
Product Pack
Pricing, prioritization, adoption and product–market fit questions.
- Willingness-to-pay tests
- Cannibalization analysis
- Experiment design
Infrastructure Pack
Capacity, reliability, cost and architecture trade-offs.
- Queueing and load models
- Failure-mode analysis
- Capacity planning
Investment Pack
Theses, valuations and the assumptions they rest on.
- Assumption stress tests
- Scenario-weighted valuation
- Downside analysis
What a Method Pack can contain
- Common problem types
- Rules for choosing a method
- Specialized analytical methods
- Tools
- Reference problems for evaluation
- Checks for weak assumptions and conclusions
- Criteria for assessing the result
Authoring tools for domain experts are a longer-term possibility. No Method Pack marketplace is available.
What would you work on in a Case?
Tell us about the problem, the information you have, and what you need to find out. Your early-access request helps us identify useful problems to test.
