Reviews

What changes after the cohort ends

Feedback below references specific modules and artefacts from our programmes. Voices are mixed in length and attribution on purpose.

★★★★★

The Module 2 assumption log stopped our finance partner from rewriting forecasts mid-meeting. We still argue — but now about ranges, not vibes.

Helen C. · Finance partner · Manchester · Forecast Decision Lab

“Short, sharp, and occasionally uncomfortable — in a good way. Scenario Studio Intensive made our Q3 capacity plan look thinner than we hoped.”

Marcus · Birmingham

Signal Hygiene Primer is dry in places, and I wanted more SQL examples. Even so, the drift checklist caught a broken feed we had trusted for months.

Anonymous client in logistics software

★★★★☆

Cadence Seat gave us a Monday decision ritual that stuck for four months. Live clinics were strong; the peer breakout on week five felt uneven.

Platform review · “OpsAnalystUK”

Case study

Regional retailer: from spreadsheet fog to a two-horizon call

A multi-site retailer in the East Midlands joined War Room Bundle ahead of winter inventory commitments. Their predictive stack produced nightly demand scores, yet buyers still overrode outputs without documenting why.

During Forecast Decision Lab modules, the team defined two decision horizons — seven-day replenishment and six-week promotional buys — and attached separate owners. Scenario Studio mapped a cold-weather spike against supplier lead times. After six weeks, override notes were required in the same tool as the forecast, and unplanned expedites fell noticeably in the first month of go-live.

Shared with permission · Operations director, regional retail

Case study

SaaS customer success: predicting churn without chasing ghosts

A B2B SaaS team used Horizon Clinic to challenge a churn model that flagged every quiet account. Together we narrowed features to product usage that preceded cancellations in the prior four quarters, and rebuilt the weekly review around three interventions only.

The outcome was fewer false alarms and a clearer handoff to account managers — not a higher model score for its own sake.