§ work

AI Enablement · Tooling · Avidity

A learning-needs survey, built with AI.

Pitched, built and deployed Avidity’s first learning-preferences and needs analysis — logic-driven, accelerated with Claude Code, with a leadership dashboard pulling LMS data.

Client
Avidity
Format
AI Enablement · Tooling
Headline result
Org-wide rollout
Status
Completed

↳ The brief

What they came in with.

Avidity wanted to understand how its people actually learn — preferences, engagement, and where they felt least supported — across the whole organisation.

There was no existing instrument for it, and off-the-shelf survey tools couldn’t connect responses to real LMS data or present it in a way leadership would act on.

↳ The move

What I did.

I pitched the idea, then built it. A logic-driven survey captured how people prefer to learn, how they engage best, and the areas they felt needed the most support — mapped across the entire organisation.

I built the whole thing myself, with Claude Code as a pair-programmer to accelerate the work, and wired it into a bespoke dashboard that pulled in LMS data and presented it back to senior leadership cleanly — the kind of view that turns a survey into decisions. It was Avidity’s first learning-preferences and needs analysis of its kind, timed to Learning at Work Week.

↳ The result

What changed.

Org-wide
needs analysis

The company’s first learning-preferences and needs analysis, mapped across the whole organisation.

1
leadership dashboard

A bespoke dashboard surfacing LMS data in a clean, functional view for senior leaders.

AI-built
with Claude Code

Designed and built solo, accelerated with Claude Code as pair-programmer.

You understand the wider context of how L&D plays into different elements of a complex business. You demonstrate the ability to turn commercial demands into effective learning experiences.
— Capability Manager · Avidity