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Power BIUXBusiness Value

Dashboard Rescue

The report exists. But can people actually use it to make decisions?

A focused redesign of a Power BI report that technically works but is not delivering enough value to its users.

Start with what is actually happening.

  • The report has grown to many pages and nobody knows where to start.
  • Every stakeholder requested one more visual.
  • Users still export data to Excel to answer basic questions.
  • Important information is buried in detail.
  • The report shows data but does not make the next decision clearer.

Good work starts with better questions.

01

What decisions should this report support?

02

Which information deserves attention first?

03

What can be removed without losing value?

04

Where does the current design create cognitive friction?

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.

Page structure and navigation

Visual hierarchy and information density

Slicers and interaction design

Tooltips and drillthrough

Use of visual types

Decision flow and business context

Mobile considerations where relevant

Performance impact of the report layer

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

Report UX Review

A clear diagnosis of where the report supports or obstructs the user.

02

Page-by-Page Recommendations

What to remove, combine, move or make more prominent.

03

Simplification Plan

A practical sequence for reducing noise without losing useful information.

04

Redesign Direction

Example structures or layouts to make the intended experience tangible.

05

Decision Map

A link between report pages, business questions and user actions.

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

01

Context

We start with a short conversation about what is happening, what matters and what has already been tried.

02

Review

I analyse the relevant parts of the solution or operating model at the depth agreed for the engagement.

03

Prioritise

I organise observations around impact, risk and usefulness — not around how many issues I can find.

04

Walkthrough

We go through the findings together, challenge assumptions and discuss trade-offs.

05

Next step

You decide what happens next: implement internally, continue together or stop because the focused engagement was enough.

I keep the client-side time demand deliberately light. A focused assessment usually needs a kickoff conversation, access or materials, and a final review session. We agree the exact involvement before we start.

This is likely to help if...

  • The data and calculations are broadly correct but the report is underused.
  • Users describe the report as confusing, busy or hard to navigate.
  • You want to redesign around business decisions rather than visual preferences.
  • The main issue is incorrect data or a fundamentally broken semantic model.
  • You need a full application UX research programme rather than a focused Power BI review.

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.

The report exists. But can people actually use it to make decisions?

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.

Tell me what's happening

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.