Buying a gym membership doesn't make you fit.
Giving someone a Power BI licence doesn't make an organisation data-driven.
Yet many self-service BI strategies follow exactly that logic: provide access, send a welcome email, run two days of training, and wait for adoption.
What follows is predictable.
Some users never start. Others build ten versions of the same metric. The most capable people become unofficial support desks. Governance reacts by adding restrictions — and “self-service” quietly becomes “please raise a ticket”.
The problem is not user motivation.
We designed technical access but failed to design a path to autonomy.
In this session, we'll use behavioural psychology and practical Power BI/Fabric patterns to explore four common adoption frictions: cognitive overload, fear of making mistakes, learned dependency and unclear ownership.
You will learn how to design progressive autonomy:
Access → Guidance → Guardrails → Ownership
We'll examine starter models, curated metrics, office hours, reusable patterns and CoE support as behavioural architecture — not just governance assets.
Because buying the membership was never the transformation.
Using the gym is.

3 AHA MOMENTS
Users duplicate reports because of the Endowment effect
Access without guidance creates learned helplessness, not empowerment
Over-choice paralyzes users — fewer options drive more usage
ROI
Higher self-service adoption without increasing support headcount
Faster time-to-insight as users follow the “guided path” by default
Measurable reduction in duplicated reports and shadow BI