PRODUCT & UX DIAGNOSTIC

Find the friction.
Know what to fix.

Identify friction in critical journeys, validate the evidence, and prioritize what to improve.

Evidence before opinionsDecision-ready output
DIAGNOSTIC SYSTEMFIG. 01 / EVIDENCE
Multiple signals.
One clearer picture.
01Behavior patterns
02User feedback
03Journey review
04Business context
Evidence mapISSUES · HYPOTHESES
PRIORITIES
01 / THE PROCESS

From signals to
actionable insight.

One critical journey. Multiple evidence sources. Clear next steps.

PRODUCT DIAGNOSTIC / WORKFLOWSIGNALS → INSIGHTS → ACTION
01 / INPUT SIGNALS CONTEXT
⌁Behavioral dataFunnels, events, journeys
◎Customer voiceInterviews, support, surveys
▣Experience evidenceUsability, observation, heuristics
↗Business contextOutcomes, costs, constraints
02 / DIAGNOSTIC WORKFLOW CHOOSE A STEP
01 / FRAME

Define the problem.

Align on the journey, audience and success criteria.

KEY ACTIVITIES
  • Define the user journey and business outcome
  • Map key decisions and evidence gaps
OUTPUTProblem statement + success metrics
REVISIT WHEN NEW EVIDENCE EMERGES
03 / DELIVERABLES DECISIONS
01Journey + evidence map
02Issue log + confidence
03Prioritized opportunities
04Validation briefs
Outputs depend on the evidence available.
Evidence quality: Observations, hypotheses and unknowns stay distinct.NO CAUSAL CLAIM WITHOUT VALIDATION
02 / THE HANDOFF

A diagnosis your team
can act on.

A focused set of findings and next steps—not a lengthy audit.

TRACEABLE FINDINGSDECISION CLARITYVALIDATION FIRST
ENGAGEMENT OUTPUTSADAPTED TO SCOPE
⌁
Journey + evidence map

Friction points, signals and gaps.

◎
Diagnostic issue register

Observed issues, hypotheses, severity and confidence.

▦
Prioritized opportunities

Priorities informed by impact, effort and confidence.

↗
Next-step test & redesign briefs

Testable hypotheses and success criteria.

03 / HOW FINDINGS ARE FRAMED

Separate signals from assumptions.

Illustrative example—not a client result.

ILLUSTRATIVE SCENARIO / SERVICE BOOKING

Users hesitate at package selection.

Drop-off tells us where users leave—not why. Usability testing can investigate decision uncertainty.

Observed: journey drop-offHypothesis: choice uncertaintyNext: targeted usability study
JOURNEY SIGNAL VIEWEXAMPLE ONLY
STARTEntry
DETAILSExplore
CHOICEHesitation?
BOOKComplete
EVIDENCEDrop-off at package selection
STILL UNKNOWNRoot cause and impact on task success
04 / SCOPE & METHODS

Clear scope.
Sound evidence.

A diagnostic informs decisions. It does not replace the product team's ownership.

What if analytics are incomplete?

We identify tracking gaps and combine available signals with focused user research. Uncertainty stays explicit.

Does this include a redesign?

It produces findings, priorities and validation briefs. Implementation is scoped separately.

Who makes product decisions?

Your team owns prioritization and delivery. I provide the diagnostic and recommendations.

START WITH ONE IMPORTANT JOURNEY

Have a product problem
that needs clarity?

Tell me which journey matters, what's uncertain, and what your team needs to decide. We'll first assess whether a focused diagnostic is a useful fit.