Identify where users hesitate, misinterpret, or quietly disengage — even when the product appears to be working.
This is a focused diagnostic engagement to understand why users don’t move forward, not just where they drop off.
The problem this solves
Most teams look at:
- funnels
- drop-offs
- metrics
- A/B tests
But users don’t leave because a step exists.
They leave because a decision feels risky, unclear, or heavy.
That moment rarely shows up cleanly in analytics.
What looks like a conversion issue is often:
- uncertainty
- misinterpretation
- fear of choosing wrong
- lack of reassurance
- confusion about what’s “enough”
Who this is for
This audit is for early and growing products where:
- conversion is lower than expected
- users drop off without an obvious reason
- support keeps answering the same clarifying questions
- returns, churn, or hesitation feels emotional rather than functional
This is especially relevant for long-horizon categories such as:
- health
- wellness
- beauty
- fintech
- education
- SaaS onboarding
- lifestyle products
What this audit focuses on
This is not a screen-by-screen UX review.
The audit focuses on decision moments, not interfaces in isolation.
I analyse:
- product pages and PDPs
- onboarding flows
- early usage paths
- labels, claims, and defaults
- help content and FAQs
- transitions between steps (before / after moments)
What I look for specifically
I look for moments where:
- users pause or hesitate
- users must translate specs into real life
- the system assumes confidence the user doesn’t yet have
- ambiguity is pushed onto the user
- reassurance is missing at the exact moment it’s needed
What you get
You receive a clear, actionable decision map that highlights:
- 5–10 concrete hesitation moments
- what users are actually asking themselves at each moment
- what the product currently answers
- what it leaves users to guess
- which guesses are risky vs harmless
- where confidence breaks before value appears
This is not a generic UX audit.
It is a lens on why users hesitate even when things are technically working.You receive a clear, actionable decision map that highlights:
- 5–10 concrete hesitation moments
- what users are actually asking themselves at each moment
- what the product currently answers
- what it leaves users to guess
- which guesses are risky vs harmless
- where confidence breaks before value appears
This is not a generic UX audit.
It is a lens on why users hesitate even when things are technically working.
How teams use this
Teams use this audit to:
- improve conversion without adding pressure
- reduce support load
- reduce early churn
- improve first-time confidence
- design clearer product communication
- align internally around real user doubt, not assumptions
When this is the right starting point
This is the right engagement if:
- something feels off but you can’t pinpoint it
- metrics tell you where, not why
- users ask many clarifying questions
- your team is guessing what users feel at decision moments