01
Capture insight.
Structured, anonymous workforce data captured from the production floor. No new system, no added burden.
Zero-friction access
Crew respond via a single QR code, distributed via call sheets, WhatsApp or on-set posters. One code per production.
Fast and anonymous
Every response takes under a minute, with no app and no login. Data is anonymised at source.
Structured by design
Responses map to five measurement categories: Preparation, Support, Safety, Conduct and Inclusion. Consistent across productions, benchmarkable over time.
02
Make the "human signal" visible.
Raw responses become live, structured signal. Pressure is visible while it is still correctable.
Live dashboards
Real-time visibility across the five measurement categories, aggregated into a TT Index score and a traffic-light band showing where pressure is accumulating.
Patterns, not people
The methodology surfaces structural conditions, not individuals. Signal is generated at the level of preparation, pace, communication and support, not personal identification.
Early sight of pressure
Scheduling friction, communication breakdown or drop-offs in preparation flagged in time to correct course, before they compound into escalation, delay or attrition.
03
Take action.
Structured reports and recommendations that leaders can act on directly.
Executive view
One dashboard across a single production or an entire production. Retention risk, delivery risk and workforce stability at a glance, with the underlying category and theme detail one click away.
Evidence for decisions
Independent, verified data that stands up in conversations with commissioners, insurers, funders, boards and unions. Justifies capital, informs policy, sets sector benchmarks.
Commercial advantage
A demonstrable record of measurement, monitoring and response, the evidence commissioners, insurers and funders increasingly expect.
Why we built this
Built on 25 years of studying how workforces hold together under pressure.
The methodology focuses on the structural conditions that determine whether a workforce stays stable: hierarchy, time and uncertainty. It is the same set of conditions that in our data predict retention intent, delivery risk and production stability.
Explore our methodology →