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Power BIWorkshopRequirements

Ask Before You Build

What if the most valuable Power BI skill is knowing when not to start building yet?

A practical workshop on turning requests into better analytical problems before the team commits to a solution.

Start with what is actually happening.

  • Stakeholders ask for a dashboard and development begins immediately.
  • Requirements describe fields and visuals rather than decisions.
  • Teams discover important assumptions after the build has already started.
  • Developers deliver what was requested but not what was actually needed.

Good work starts with better questions.

01

What action should change?

02

What does success look like?

03

What assumptions are already being made?

04

What does the metric actually mean?

05

Who needs the information — and when?

06

At what level of detail?

07

How should it be delivered only after the problem is clear?

The scope follows the problem.

I do not force every engagement through the same checklist. These are the areas that may matter; the agreed scope determines how deep we go.

Turning requests into decision questions

Defining success before building

Surfacing assumptions

Clarifying business meaning

Understanding user and urgency

Choosing information and level of detail

Challenging whether a report is the right solution

Using coaching-style questions without turning every meeting into coaching

Something you can use after the conversation ends.

The output should help you make a decision, change a practice or move the work forward. It should not exist simply to prove that work happened.

01

Interactive Workshop

Participants practise the approach rather than only hear about it.

02

Questioning Framework

A repeatable sequence the team can use in requirement conversations.

03

Live Scenarios

Examples where participants decide what to ask before they build.

04

Build / Don’t Build Exercises

A deliberate challenge to the assumption that every request needs another report.

05

Team Checklist

A lightweight reminder for future discovery conversations.

Enough structure to make the work clear. Not so much process that the process becomes the work.

01

Discovery

We clarify the audience, current level, recurring problems and what people should be able to do differently afterwards.

02

Design

I shape the agenda, examples and exercises around those needs rather than forcing a standard deck onto the team.

03

Live work

The session combines explanation, demonstration, questions and hands-on practice.

04

Follow-through

You leave with material, patterns and clear next steps for applying the learning at work.

The main time commitment is the live interactive workshop. A short discovery conversation happens before delivery so the session can be shaped around the team.

This is likely to help if...

  • Your team spends too much time building before understanding.
  • Developers want stronger business conversations without becoming business analysts overnight.
  • You want to improve requirements through better questions, not more templates.
  • You only need technical Power BI training.
  • You need formal product-management process design across the organisation.

If the problem is real but the format is wrong, that is useful to know early. I would rather redirect the conversation than force the challenge into the wrong service.

This does not automatically lead to another engagement.

Sometimes the focused piece of work is enough. If it reveals a useful next step, these are some of the directions that may make sense.

What if the most valuable Power BI skill is knowing when not to start building yet?

Bring me the problem, not a polished brief. A few sentences about what is happening and what you would like to change are enough to start.

Discuss team training

Send me a message.

You do not need a polished brief. Whether the topic is Power BI, Fabric, AI, team training, mentoring, coaching or simply a challenge that needs untangling, leave a few details and we can start from there.

SIGNALMESSAGECONVERSATION

AI & TRANSPARENCY

AI supports selected parts of my work — it does not replace my judgement, responsibility or relationship with the client.

I use AI tools for tasks such as research, organising information, structuring content and preparing materials. I treat AI as support for my work — not as an autonomous author or decision-maker. Anything I publish or use professionally remains my responsibility.

In coaching, I do not use AI to automatically assess, diagnose or make decisions about a client. AI does not replace attention, confidentiality or human responsibility for the coaching relationship.

AI may support the process. Human responsibility remains.