See what a real diagnostic looks like before you inquire
This is the lighter public version of the same diagnostic logic we use in paid work: identify the leak, rank the issues, define the shipped fix, and tie the recommendation to a metric that matters.
Example findings
What gets called out in the first pass
Homepage category confusion
Issue: The page was trying to sell multiple identities at once, so buyers could not tell what to do next.
Fix: Collapsed the message into one category statement, one primary audience, and one next-step CTA.
Proof buried too low
Issue: Big claims existed, but the work page and commercial pages were not carrying enough evidence to support them.
Fix: Moved proof higher and tied every claim to a problem, intervention, and result format.
Offer path too fuzzy
Issue: Visitors could not easily tell when to buy a diagnostic, a sprint, or an ongoing retainer.
Fix: Reframed the commercial path as diagnostic -> sprint -> retainer with clear fit criteria.
Rank issues by impact and implementation effort
Tie every recommendation to a metric or funnel stage
Show what should be fixed now versus later
Artifact proof block
What the work actually looks like
Friction matrix
Diagnostic output
Ranked issues by impact, effort, and owner so teams know exactly what to ship first.
Turns a broad audit into the next 30 days of implementation work.
Annotated user-flow review
Walkthrough deliverable
Narrated the user journey like a first-time buyer, noting where trust, clarity, or momentum dropped.
Gives founders a shared view of what is actually blocking conversion.
Sprint brief with success metric
Implementation scope
Defined the single bottleneck, the shipped change, QA steps, and the metric used to judge success.
Keeps design, copy, engineering, and analytics aligned around one outcome.
Quick proof strip
Examples of where this process has gone next
B2B SaaS onboarding flow
Problem: Trial users were reaching sign-up but not first value quickly enough.
Change: Reworked the onboarding sequence, message hierarchy, and activation checkpoints.
3x average conversion lift across activation and onboarding journeys.
DePIN hardware launch
Problem: Launch traffic and community attention were not consistently turning into deposits.
Change: Aligned narrative, landing pages, FAQs, creator kits, and launch sequencing around one funnel.
$7m+ in gross revenue and multiple sold-out pre-order rounds.
High-intent service business funnel
Problem: Strong demand existed, but search visibility and mobile booking conversion were weak.
Change: Fixed technical SEO, rebuilt treatment-page depth, and cut booking friction.
3x organic traffic and local-pack visibility for priority treatments.
Want this level of clarity on your own funnel?
We will review your current journey, rank the real leaks, and show what to ship first.