A suite of decision tools for corporate innovation teams. Kill bad ideas early, defend good ones with data, and build a portfolio that actually shifts the needle.
Structure customer interview data into job statements. Clusters by importance vs. satisfaction gap to surface the opportunities worth pursuing — not just the ones people talk about loudest.
Dial into customer calls or meetings for real-time JTBD extraction. AI listens, identifies job statements, and structures them into the opportunity framework — no manual note-taking required.
Guided market sizing with explicit assumption logging at every step. Every number links to its source and rationale, so the output survives a boardroom challenge.
AI-powered competitive deep-dive with configurable 2x2 positioning grid. Plot competitors on any axes — price vs. capability, incumbent vs. disruptor — and refine by geography or segment.
RICE / ICE scoring with weighted criteria tailored for corporate context: strategic fit, cannibalisation risk, regulatory exposure, and technical feasibility. Produces a ranked pipeline with transparent scoring.
Visualise your innovation portfolio across McKinsey's 3 Horizons. See where investment is concentrated and whether your portfolio matches your stated ambition. Tracks allocation drift over time.
Classify assumptions on a 2×2 matrix (viability impact × internal/external), track conviction levels with trend indicators, log evidence, and link to experiments.
Every venture rests on assumptions. This framework classifies them by two questions: Is this within our control? and Would being wrong kill the venture? — then prioritises testing accordingly.
Given a hypothesis, suggests experiment types (concierge, Wizard of Oz, smoke test, etc.) with estimated cost, time, and signal strength.
Lean Canvas and full BMC with version history. See how your model changed with each experiment cycle.
Define a target return, then reverse-engineer the revenue, margin, volume, and pricing assumptions required to get there. Auto-imports from your unit economics.
Customer acquisition cost, lifetime value, payback period, and contribution margin with sensitivity analysis. Auto-imports estimates from your venture analysis.
Checklist-based readiness assessment for each gate. Auto-populates evidence from the Assumption Tracker and Experiment Designer.
Leading indicators: experiments run, assumptions tested, pivot decisions made, conviction trends.
Structured decision framework with evidence weighting. Aggregates conviction levels, experiment results, and financial projections into a clear recommendation.
The SyntropicWorks analysis engine with 8 philosophy lenses, validation planning, and AI-powered research.
Try it →Command-line interfaces for automation, CI/CD integration, and batch processing.
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