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The Unvera Discovery Framework

Most discovery failures aren't execution failures. Teams build the wrong thing because critical decisions were never made visible. This framework changes that.

1
The Discovery Process
A repeatable path from signal to confident decision
2
The Judgment Points
19 decisions made explicit, visible, and improvable
3
AI Partnership
AI accelerates the work. Humans own the judgment.
1 Layer 1 · The Discovery Process

Five Stages. Four Gates.

A repeatable path from initial signal to confident decision. At every gate, evidence determines whether to proceed, iterate, pivot, or stop.

Stage 0
Initiation
G1
Worth Exploring?
Stage 1
Problem
Discovery
G2
Worth Solving?
Stage 2
Solution
Design
G3
Ready to Test?
Stage 3
Validation
G4
Confident to Build?
Stage 4
Handoff
At every gate — an evidence-based decision:
Proceed Iterate Pivot Stop
Stopping is a valid outcome. A discovery that concludes "don't build this" has succeeded.

The process gives you structure. But structure alone isn't enough — you also need to see where judgment happens inside it.

2 Layer 2 · The Judgment Points

19 Decisions That Determine Outcomes

Every critical decision is explicit, visible, and improvable. These are the moments where human judgment determines whether discovery produces insight or theater.

Problem
5 JPs
Do we understand the job?
  • Signal Evaluation
  • Customer Segment Selection
  • Problem Framing
  • Opportunity Prioritization
  • Scope Definition
Solution
5 JPs
Is the design grounded in evidence?
  • Solution Generation
  • Solution Selection
  • Assumption Identification
  • Risk Prioritization
  • Prototype Scope
Validation
5 JPs
Does the evidence hold up?
  • Test Design
  • Evidence Interpretation
  • Signal vs. Noise
  • Confidence Assessment
  • Proceed / Pivot / Stop
Learning
4 JPs
Did we achieve outcomes?
  • Success Metrics Definition
  • Monitoring Signal Selection
  • Outcome Interpretation
  • Learning Extraction

Without explicit judgment points, critical decisions are invisible, inconsistent, and unimprovable.

Making judgment visible is essential. But in practice, you also need to decide how AI fits into each stage — and where it doesn't.

3 Layer 3 · AI Partnership

Three Modes of Collaboration

AI accelerates work within each stage. Humans own judgment at every gate and decision point.

Automate
AI handles repetitive processing
  • Transcription and data aggregation
  • Scoring calculations
  • Document generation
  • Report assembly
🔗
Augment
AI enhances human analysis
  • Pattern clustering and gap identification
  • Cross-reference analysis
  • Consistency checking
  • Draft generation and visualization
💡
Coach
AI guides the process
  • "Have you considered…"
  • "Your evidence gaps are in…"
  • "What would change your confidence?"
  • Challenges assumptions and prompts reflection
Humans always own: which problems to pursue, which solutions to test, when to proceed, pivot, or stop.

Explore the Framework

Interactive tools to navigate, reference, and apply the framework.

Want to explore how this applies to you?

30 minutes. No pitch. Let's talk about where a structured product discovery framework would make the biggest difference for your team, cohort, or program.

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Published in UX Collective · Read our articles →