Developers are finding you. Find out where they stop.
A 1 to 2 week audit that shows where your developer journey breaks and what to fix first, before you hire DevRel, rewrite docs, or publish more content.
Is this for you?
Built for companies already selling to developers.
Good fit
Not for you if
B2B developer-facing SaaS, API, infrastructure, or AI tooling
Idea-stage with no product and no users
Already selling, onboarding, or trying to activate developers
No developer or technical buyer in the funnel
10 to 200 people
Expecting unlimited implementation inside the audit scope
Visible pain around developers not trying, understanding, activating, or returning
Wanting DevRel to compensate for a weak product
Budget for diagnosis before committing to a bigger hire, docs rewrite, or sprint
Teams that want cheap social posting, not a strategic diagnosis
What we audit
Seven areas, each scored and evidenced.
Every finding is tagged P0 (blocking), P1 (major leak), or P2 (optimisation). Nothing gets flagged without a source link or screenshot to back it.
Positioning and first impression
- Whether a technical visitor can understand the product without a founder explanation
- Who it is for, why developers should try it, and why now
- Why developers should trust it over alternatives
- CTA clarity and technical specificity
Developer journey
- Landing page to docs, README, signup, install, or demo
- Time to first meaningful success
- Where developers stop before trying, activating, or returning
- Conversion path to trial, sales, paid plan, or active usage
- Whether an AI agent or assistant can follow the same discovery-to-first-value path a developer would
Docs and onboarding
- Getting-started path and example quality
- Auth/key setup friction and copy/paste reliability
- Missing conceptual explanation
- Pricing-before-value friction
- Whether docs, API reference, and OpenAPI/llms.txt are legible enough for an agent to read and use safely
Content and technical trust
- Founder and team point-of-view presence
- Technical blog quality and launch cadence
- Whether content builds trust or just announces features
- Social channels and story consistency
Measurement and attribution
- Activation metric clarity
- Signup-to-first-value instrumentation
- Content and conversion tracking
- Whether DevRel effort is tied to adoption, not activity
DevRel hiring readiness
- Whether the company knows what DevRel should own first
- Whether the real problem is story, docs, onboarding, content, community, or focus
- Whether hiring now would help or put someone into fog
- First 90-day DevRel focus and what not to own yet
Agent-ready developer experience
- Agent and AI-search discoverability: can agents and answer engines find and correctly represent the product
- Docs, API reference, OpenAPI spec, and llms.txt legibility: can an agent read it and act without guessing
- MCP fit, not MCP by default: whether an MCP server makes sense for this product, and where it does not
- Sandbox and test-mode safety: whether an agent can try real actions without live side effects or billing risk
- Handoff and error recovery: whether failures return a clear next step instead of leaving the agent stuck
Now part of the audit
Can an AI agent find, understand, and safely try your product?
Developers increasingly send an agent to evaluate a product before they look at it themselves. The audit includes a dedicated pass on whether that agent can discover the product, understand it from your docs and API surface, try it safely, and recover cleanly when something goes wrong.
Agent and AI-search discovery
Whether agents, assistants, and AI-powered search can find the product and its docs at all, and represent them correctly.
Docs, API, OpenAPI, and llms.txt legibility
Whether reference material is structured and unambiguous enough for an agent to act on without a human translating it first.
MCP fit, not MCP by default
Whether exposing an MCP server makes sense for this specific product and workflow, and where it does not.
Sandbox and test-mode safety
Whether an agent can try real actions, calls, or flows without live side effects, real charges, or irreversible changes.
Handoff and error recovery
Whether failures, auth walls, and rate limits return a clear next step instead of leaving the agent (or the developer behind it) stuck.
What this is not
- A promise of ranking well inside any specific LLM, AI search result, or agent's answer
- Enabling agents to complete purchases or take autonomous action on your behalf
- An MCP server build — MCP is assessed for fit, not delivered by default
What you get
A report you can act on, not another slide deck.
Developer adoption leak map
A map of where qualified developers fail to try, understand, activate, or come back to your product.
Docs, README, and onboarding review
Line-by-line assessment of the path from landing page to first meaningful developer success.
Positioning and messaging critique
Is your story specific enough for a technical buyer who has seen ten tools like yours this month?
Content and channel gap analysis
Where trust-building content is missing, weak, or compensating for an unclear journey.
Scored diagnostic across seven areas
Each area rated 1 to 5 with severity labels. P0 blocking leaks are flagged immediately.
Prioritised 30/60/90-day roadmap
What to fix first, what to build next, and what to measure in plain language, not a laundry list.
Format
PDF or Google Doc report, scored diagnostic table, 30/60/90-day roadmap, delivery call, and a follow-up email with the recommended next step. If a DevRel Launch Sprint or Developer Visibility Engine would address the biggest leaks, that will be in the roadmap. The audit stands alone regardless.
How it works
Five steps from intake to delivery call.
Intake and access
You send URLs, product context, target developer profile, current goal, and any analytics you have. We confirm scope.
Evidence capture
Full walkthrough of your public developer journey: homepage, docs, onboarding, content, social, and launch assets.
Scoring and leak diagnosis
Each area is scored 1 to 5. Blocking leaks are identified with evidence and business-impact reasoning.
Report assembly and QA
Strategic judgement pass on the diagnosis. Every major claim is backed by a source link or screenshot. No invented metrics.
Delivery call and roadmap
60-minute walkthrough of findings, priorities, and the recommended next step: sprint, hire, or fix-first.
Repeatable by design
A consistent rubric, not a different opinion each time.
The audit uses a fixed scoring rubric across seven dimensions. Every area gets a 1 to 5 score with a plain-language explanation. P0 blocking leaks are separated from P1 major leaks and P2 optimisations so you know what to fix this week versus this quarter.
Because the rubric does not change, the scorecard becomes a baseline. Run it before a launch, after a DevRel hire, or before a fundraise where developer adoption metrics matter.
How we score
Broken or missing
Actively costing adoption
Present but broken
Confusing, incomplete, or high-friction
Functional
Not differentiated or conversion-focused
Strong
Specific fixable gaps
Excellent
Minor optimisation only
Before you book
Questions we hear every time.
How is this different from a few hours with a DevRel consultant?
An ad-hoc call gives you opinions. The audit gives you a scored diagnostic with evidence, severity labels, and a prioritised roadmap. You leave knowing exactly where developers are failing to try, understand, activate, or return, plus what to fix first.
Do I need to have DevRel already running?
No. This is often most useful before hiring a first DevRel person, expanding DevRel, or launching a technical product. The audit tells you what DevRel should own first, and what would be a distraction.
What do you need from us?
Your website and docs URL, your target developer profile, the adoption problem you are seeing, and any analytics screenshots you can share. A test account or signup flow access is useful but not required.
Can the audit scope include our internal tools or roadmap?
The audit reviews publicly visible developer touchpoints and anything you share for context. Internal roadmap review can be added, but it is not the default scope.
What happens after the audit?
You get the report, scorecard, and roadmap with no strings attached. If a DevRel Launch Sprint or Developer Visibility Engine would address the biggest leaks, I will say so. But you own the findings regardless.
Why does it cost $10K if it takes 1 to 2 weeks?
Senior strategic diagnosis costs more than junior content production. The value is knowing which small set of changes is most likely to improve developer adoption before you spend months building the wrong things.
Does the audit test whether AI agents can use our product?
Yes, as one of the seven scored areas. We check whether an agent can discover the product, read your docs, API reference, OpenAPI spec, and llms.txt clearly enough to act on them, try things safely in a sandbox or test mode, and recover when it hits an error or a wall. It is not a promise of ranking well in any specific LLM, not a way to let agents complete purchases autonomously, and not an MCP build by default. MCP is assessed for fit, not assumed.
The guarantee
You get a clear, evidence-backed diagnosis and prioritised roadmap. Or we keep working until you do.
Not a vague report full of opinions. A scored diagnostic with source links, a severity-ranked action list, and a 90-day roadmap you can hand to an engineer on day one.
Know where developer adoption is breaking before you spend more fixing it.
Send the URL, the adoption problem, and any context you have. I will come back with whether the audit fits, what it would cover, and what to expect from the findings.