SIGNAL™
Intelligent product discoveryA discovery framework that turns noise into clear product decisions. It replaces static discovery phases with continuous sense-making focused on reducing uncertainty. The goal is not to prove you are right. It is to learn what is true.
“Discovery is not about collecting opinions. Discovery is about detecting signals.”
When to use SIGNAL™
- High ambiguity and competing priorities
- Information overload and noisy signals
- Complex stakeholder landscapes
- Uncertain market conditions
The loop
Four phases. Repeat until the signal is clear.
- CContextWhat do we already know, and what are we assuming?ActivitiesProblem definition, constraint mapping, decision history, stakeholder alignmentAI accelerationSynthesis, living memory, noise reductionProblem statement, constraints map, assumptions
- AAmplifyWhat signals exist that we haven’t detected yet?ActivitiesFeedback analysis, market research, data exploration, hypothesesAI accelerationPattern detection, feedback clusteringOpportunity map, signal inventory, hypothesis backlog
- SSenseGiven what we know, what should we prioritize?ActivitiesImpact assessment, trade-offs, prioritizationAI accelerationScenario simulation, decision modelingPrioritized hypotheses, trade-off matrix, rationale
- EExperimentHow can we test this with minimum investment?ActivitiesPrototypes, user tests, MVPs, rapid validationAI accelerationTest design, faster analysisValidated hypotheses, learning log, next iteration
↺ Learnings feed the next Context
Move from Sense to Experiment when all three are true.
- 1You can write the hypothesis in one clear sentence.
- 2You know what evidence would prove you wrong.
- 3Testing costs less than more analysis.
SIGNAL™ CanvasIteration 02 · Claims assistant
C · ContextAdjusters spend 4+ minutes finding policy clauses per claim.Constraint: no PII leaves the tenant.Assumption: search, not writing, is the bottleneck.
A · AmplifyTop 3 signals from 1,200 tickets:clause lookupcoverage limitsexclusions
S · SenseIf adjusters get cited clauses in one step, time per claim drops 30%.RICE 84 · trade-off: accuracy over coverage
E · Experiment2-week pilot, 8 adjusters, control team of 8.Success: −20% time, 90%+ citation accuracy
Free template
SIGNAL™ Canvas
A one-page discovery tool. Fill it for each iteration and share it with stakeholders to keep decisions and rationale in one place.
Get the canvasApply SIGNAL™