Ownership at Work measures how much ownership employees really take, through anonymous team scans built on a proven methodology. We built the full platform: tokenized anonymous surveys, computed scores per lever at organisation and team level, branded PDF reports with radar charts, plus the proposal tooling and admin back office around it.
Challenges & Solutions
Anonymous answers, team-level insight
Respondents must stay anonymous, while consultants need aggregated scores per team and per lever. Getting both, reliably, at scale, with heavy score computation on scan close, was the core engineering problem.
Tokenized scan flow with computed scores
Employees answer through anonymous tokenized links, the platform aggregates responses into per-lever scores at organisation and team level, with exports to Excel alongside the reports.
Reports had to look like the consultancy, not like software
The scan's output is the client deliverable: a branded document with radar charts per team, ready to present in a boardroom, not a raw data dump.
Server-rendered branded reports
The platform renders branded PDF reports with overall and per-lever radar charts, and drafts executive summaries in Dutch, French or English.
01. Methodology to Model
We translated the Ownership Scan methodology into a precise data model of levers, scans, teams and computed scores.
02. Anonymous Scan Flow
We built the tokenized survey experience and the aggregation engine behind it.
03. Reports
Branded PDF rendering with radar charts, plus multilingual executive summaries.
04. Business Tooling
A proposal module with price calculator and intros, client management and audit logging completed the platform.
Every scan used to end in a week of manual report writing. Now the platform turns anonymous team data into a branded, presentable report the same day.

Founder
Ownership at Work
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