Optional analytics
Allow optional analytics to help improve projects, writing and navigation. It uses a pseudonymous first-party identifier after consent. No names, email addresses, messages or search text are collected.
Read the privacy policyI design and build analytics infrastructure, revenue intelligence and applied AI workflows, from source systems and data contracts to monitoring and operational interfaces.
Each build starts with an awkward question: what changed, what is being missed, and what should happen next?
Turns website signals into a prioritised fix list.
Starts with Public website. Checks it against captured evidence. Leaves you with Prioritised fixes.
Brings product, CRM, and billing signals into one ranked account view with the reasons visible.
Starts with Product and account data. Works through Explainable scoring. Leaves the team with Revenue action.
Turns trusted source material into grounded, reusable content without losing voice.
Starts with Trusted sources. Works through Grounded drafting. Leaves the team with Publish and review.
Turns a live website into reusable visual tokens and structured brand signals.
Starts with Live website. Works through Visual extraction. Leaves the team with Design tokens.
I help when the raw pieces exist but people are still rebuilding reports, missing warning signs, or working around tools that should be doing more.
Bring reporting out of exports and into one dependable place.
Useful when someone still starts Monday by downloading CSVs.
Stop rebuilding the same weekly report from scratch.
Useful when the weekly report takes longer to explain than to read.
Spot accounts losing momentum before the signal gets buried.
Useful when product, CRM, and billing signals disagree about who needs attention.
Put checks, context, and a human handoff around an AI task.
Useful when an AI demo needs a dependable workflow before it can be trusted.
Give a useful interface to data work that currently lives in scripts.
Useful when the underlying data is useful but nobody else can use it without help.
My background spans data systems, research, product analytics, and technical leadership. The common thread is making inputs, assumptions, failure modes, and outputs clear enough to trust.
Bring the dashboard nobody trusts, the recurring report that takes too long, or the AI workflow that still needs structure. We can turn it into a clearer system.
Send the current workflow, source material, report, or product idea. The rough version is enough to begin.
Clarify the workflow, evidence, constraints, and decision.
Connect the data, logic, automation, and interface.
Test the system, document its boundaries, and make ownership clear.