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Analytics product

Employee Sentiment Intelligence

Research tools, comparable ratings and executive reporting brought employee experience into a repeatable analytical product.

My contribution
Product lead · analytics engineering · executive storytelling
Timeframe
Multi-year product evolution
Status
Completed
THE WORK IN ONE LINE

Research, Python tooling and Power BI comparisons became a repeatable analytical offering and executive report.

PythonpandasPower BI / DAXExcelPowerPoint

01 / The problem

Useful feedback was hard to compare.

Employee research arrived across sources with different categories and units. A rating without its source or comparison group could look precise while answering the wrong question.

02 / What I built

I connected structured research inputs, source-specific Python parsers, Excel exports and Power BI measures. Company and cohort context stayed with the rating, then the findings became presentations an analyst could explain and use.

ESA / RESEARCH RATINGS

A score with context.

Fictional companies
FOCUS COMPANYCedar Works
Source: research samplePeriod: Q1 2026Unit: rating, 1–5

How the sample rating changed

24 months · 1–5 scale
12345Apr 2024Apr 2025Mar 2026
Hover, focus or tap a point
01 / PRESERVE THE SOURCE
Cedar Works / Career Opportunities
Captured rating
3.2 / 5
Source reference
research-sample / cedar / Q1-2026
Missing distribution
Unavailable · not inferred from a mean
Select a dimension
12345
Cedar WorksSelected peer average
Career Opportunities

A gap worth investigating.

-0.60 points vs selected peers
FROM CHECKED VALUES TO AN EDITABLE BRIEF

Career Opportunities

Cedar Works3.2 / 5Selected peer average3.80 / 5Gap-0.60 pts
Values are calculated from the sample. The observation remains a draft for analyst review.
Inspect the ratings and calculation
CompanyCareer OpportunitiesIncluded
Cedar Works3.2 / 5Focus
Juniper3.9 / 5Selected peer
Alder3.7 / 5Selected peer
Maple3.8 / 5Selected peer
peer_average = mean(selected_peers.same_scale_ratings)
gap = company_rating - peer_average
report.chart_values = checked_values
report.observation = draft_for_analyst_review

The peer average is an unweighted mean of the selected company ratings. It is not an industry benchmark.

Original illustrative reconstruction of the earlier research-rating workflow. The newer Voice Lab reporting app uses a different percentage scale and remains in development.

04 / Result & scope

What changed. What comes next.

Verified public career history and sanitized local product artifacts.

Repeatable research

Source-specific collection and parsing produced structured rating exports.

Defined comparisons

Dashboard measures put company ratings beside selected peer groups.

A reporting product

The delivered ESA practice evolved into defined offerings; the newer Voice Lab app remains in development.

01

Research toolkit

A project-folder builder, research launcher and capture/parser connect source pages to structured Excel outputs. Original source references and available source-specific metrics are retained.

02

Comparison design

The public example uses six older research-rating dimensions on a 1–5 scale. Selecting peers changes the actual comparison set. An equal-company mean is labeled selected peer average, never industry benchmark.

03

Voice Lab: the next chapter

The newer reporting app separates computed chart data from a draft narrative and maps both into editable PowerPoint templates. It uses different percentage-based dimensions and 24-month trends. Capture-to-generation and template-builder acceptance remain in progress.

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