(CASE 01 · PRESS GANEY)

The same numbers, rebuilt for the people reading them.

A client-profile dashboard with every number on it and nothing to act on. I sat with the sales team, found what each reader actually needed, and rebuilt it in Power BI.

The rebuilt Press Ganey benchmarking dashboard, dark theme

(TL;DR)

SITUATION
A client-profile dashboard with every number on it and nothing to act on. Its readers said the high-level data was not what they needed.
WHAT I DID
I sat with the sales team, wrote down what each reader needed, and found what upgrades they wanted.
RESULT
Three views from one set of requirements, inside Power BI's limits: live calculators and numbers a rep can act on.

The ask

I sat with the sales team and wrote down what each reader needed. They get about four minutes with a client, and the page in front of them had no trend and no benchmark on it.

Same data, different readers

One page, read for different jobs. An account lead opening a call needs movement against a benchmark. The chart on this page counts surveys, which answers a different question.

What changed

Readers said openly that some of the high-level data was not what they needed. The rebuild traded it for things they could act on: benchmarks, deep dives, and calculators that help close a deal.

The build

The design was mine and the build was the team’s, with my manager partnering on the data. Every choice had to be one Power BI could ship, so I wrote the requirements against the tool, not around it.

BEFORE: the dashboard as it stood. Not my work.

Est. HCAHPS Star Rating3.8
Engagement4.1
Avg Length of Stay4.2
Readmission Rate15.2%
Safety Score72.4
VBP Score58.0

Series: Surveys sent, Responses received

05001,0001,5002,0002,5003,0003,5004,0004,5005,000JulAugSepOctNovDecJanFebMarAprMayJunSurveys sentResponses received
33%33%33%
  • Trending better (2)
  • Stable (2)
  • Trending worse (2)
Facility Performance
FacilityEst. StarReadmissionSafetyTrend
E.M. Tolliver Medical Center4.113.8%79.0Good
Haverfield General Hospital3.914.7%74.2Neutral
St. Hedwig3.615.9%70.1Bad
Antelope Springs3.516.4%68.4Bad
Meadowlark West4.014.2%76.3Good
Lodgepole Creek3.715.1%71.5Neutral
Product Families
Product FamilyFacilitiesOwnedCandidateApproached
Patient Experience2 / 6YesNoYes
Workforce1 / 6YesNoNo
Whitespace Reports3 / 6YesNoYes
Strategic Consulting0 / 6NoYesYes

BUILT IN POWER BI

ILLUSTRATIVE VALUES · structure and requirements real, client data synthetic

The readers told me what they needed. The design came from that, and the build stayed inside what Power BI could ship.