Repeatable research
Source-specific collection and parsing produced structured rating exports.
Analytics product
Research tools, comparable ratings and executive reporting brought employee experience into a repeatable analytical product.
Research, Python tooling and Power BI comparisons became a repeatable analytical offering and executive report.
01 / The problem
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.
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.
| Company | Career Opportunities | Included |
|---|---|---|
| Cedar Works | 3.2 / 5 | Focus |
| Juniper | 3.9 / 5 | Selected peer |
| Alder | 3.7 / 5 | Selected peer |
| Maple | 3.8 / 5 | Selected peer |
peer_average = mean(selected_peers.same_scale_ratings)
gap = company_rating - peer_average
report.chart_values = checked_values
report.observation = draft_for_analyst_reviewThe 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
Verified public career history and sanitized local product artifacts.
Source-specific collection and parsing produced structured rating exports.
Dashboard measures put company ratings beside selected peer groups.
The delivered ESA practice evolved into defined offerings; the newer Voice Lab app remains in development.
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.
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.
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.