For Technical Founders
Human-Layer Audit
A human-layer audit that maps your current product reality to a coherent buyer journey: pages, flows, proof, and language that match what you can actually deliver.
This shows up as
- 1Website pages that are months behind product capability
- 2Feature list grows, but the story doesn't: no clear 'who it's for / why now / what to do next'
- 3Prospects need a clear path to understand the value (and many never take the next step)
Best for early-stage product teams shipping rapidly with AI-assisted development who need their narrative to catch up.
Built for
- AI and ML product companies
- Technical co-founders shipping to non-technical buyers
- B2B SaaS teams with strong engineering, thin marketing
- Developer-tool companies expanding beyond developer audiences
- Pre-launch or early-stage teams getting positioning right early
What this is not
- ✕Not a brand redesign
- ✕Not generic positioning workshops
- ✕Not growth hacking
- ✕Not compliance certification (legal, SOC2, HIPAA)
- ✕Not an ongoing content marketing retainer
The feature forest trap
You can ship features faster than ever. AI-assisted development means your product evolves weekly. But your narrative, positioning, information architecture, and buyer journey cannot keep up. The result: a feature forest where pages pile up, navigation sprawls, messaging becomes outdated, prospects get confused, and sales cycles stretch. Competitors with weaker products win on clarity.
Inside-out (how you see it)
- "Multi-model orchestration layer with RAG pipeline"
- "Sub-200ms p95 latency with auto-scaling"
- "SOC2 Type II compliant infrastructure"
Outside-in (how buyers need it)
- "Your team asks one question, gets one answer, no prompt engineering required"
- "Fast enough that your team uses it instead of workarounds"
- "Your compliance team already approved this"
What I review
A structured walk-through of every surface where buyers form opinions, make decisions, or abandon ship.
What you get
The review includes an outside-in journey map from first click to decision and messaging alignment notes tied to real pages and screens.
Prioritized friction fix list
A top-10 friction fix list covering the agreed review surfaces.
Annotated screenshots
Every friction point marked with severity and recommended fix.
Friction map
Visual map of where buyers hesitate, bail, or get confused.
Plain-language rewrite set
Before/after copy for your highest-traffic, highest-friction pages.
Persona-decision matrix
Who is buying, what they need to decide, and what is missing.
Proof asset recommendations
What trust signals to add, where, and in what format.
Review scope
Scope can cover homepage messaging, messaging and onboarding, or the full buyer journey, including plan information, personas, proof and competitor positioning. A readout session can be included in the full journey review. I confirm the pages and review depth before work begins.
Pricing is shared after a short scoping message.
How it works
Initial inquiry
Share your product, target buyer, and where you think friction lives.
Structured review
I walk your product as a buyer. Every friction point is documented with severity and fix recommendation.
Deliverables
You receive annotated screenshots, rewrites, and a prioritized action plan you can execute independently.
Make the demo journey legible to a buyer
I translate technical capability into a sequence a buyer can evaluate: the problem and role it serves, the moment the product demonstrates value, the evidence that supports its claims, and the next step after the demo. A feature list alone does not explain which buyer problem matters or what someone should do next.
- Connect technical details to a specific user or business task without flattening important nuance.
- Check that proof supports the claim, is safe to share, and appears where a buyer needs reassurance.
- Trace the path from first explanation through demo, evaluation, and decision for each relevant stakeholder.
What is a Human-Layer Audit?
A Human-Layer Audit translates inside-out engineering language into outside-in buyer clarity. It reviews messaging, onboarding, plan communication, and trust signals across your product's buyer-facing surfaces. The goal is to identify where technical accuracy creates buyer confusion, and provide specific, implementable fixes. It is especially relevant for teams shipping rapidly with AI-assisted development tools where build velocity outpaces narrative velocity.
Best for
- AI and ML product companies with strong tech, thin marketing
- Technical co-founders selling to non-technical decision-makers
- B2B SaaS teams with low trial-to-paid conversion
- Products where buyers say 'I don't get what this does'
- Teams shipping rapidly with AI-assisted development who need messaging to catch up
Frequently asked questions
What is a 'feature forest' and how does it happen?▼
A feature forest forms when your team ships capabilities faster than your messaging, navigation, and buyer journey can absorb them. Pages pile up, navigation expands, and no single path guides a new visitor from 'what is this?' to 'I want this.' It is especially common with AI-assisted development, where build velocity outpaces narrative velocity.
How is this different from a UX audit?▼
A UX audit evaluates interaction patterns and usability. A Human-Layer Audit focuses on language, trust signals, and decision clarity. The overlap is onboarding and plan information pages, but the lens is different: I am asking 'does the buyer understand what this is and why they should trust it?' rather than 'can the user complete the task?'
Do you work with AI-assisted ('vibe coding') products?▼
Yes, and increasingly so. Teams using Claude Code, Cursor, or similar tools ship features at a pace where positioning, information architecture, and proof can't keep up. That mismatch is exactly what this audit addresses.
Will you rewrite my entire site?▼
No. This is a diagnostic and translation exercise, not a site redesign. You get annotated screenshots, a friction map, and a set of plain-language rewrites for the highest-impact sections. You or your team implement the changes.
Do you need access to analytics?▼
It helps but is not required. If you share analytics, I can prioritize by traffic and drop-off. Without it, I work from the buyer's perspective and publicly available signals.
Who reviews the audit?▼
I personally review every surface. I may use AI-assisted tools for internal iteration, but I review and write the final outputs. I never enter sensitive data into unapproved tools.
What is the typical timeline?▼
I confirm the timeline in the written scope. It depends on product complexity, the number of surfaces reviewed, and the material available.
What if my product is pre-launch?▼
Even better. Getting messaging and onboarding right before launch avoids expensive pivots later. I can work from prototypes, demos, or landing pages.
Related reading
Human-Layer Translation: Why Engineer-Built Products Lose Buyers (and How to Fix It)
Practical guide with checklists and before/after examples
I may use AI-assisted drafting for internal iteration. I do not enter sensitive data into unapproved tools. I review final outputs.
Ready to start?
Send a short message about the product and buyer-facing surfaces you want me to review. I reply within one business day.
Send a message