Data-driven decision labs

The business problem

Most companies have more dashboards than ever, yet many meetings still end in opinion contests. Numbers are presented without context, charts are read in different ways, and uncertainty is either ignored or used as a reason not to decide. The gap is rarely the data itself; it is the shared habits around using it.

How we run it

Diagnose. We look at how your teams use data today: which reports drive decisions, where debates get stuck and which decisions are coming up. Design. We build the lab around cases from your world (pricing, demand planning, customer churn, hiring) using realistic or anonymised numbers. Run. Teams work through short challenges: framing the question, spotting a misleading chart, estimating with ranges rather than single numbers, and making a recommendation under time pressure. Debrief. The facilitator compares how teams reasoned and what they missed. Follow-up. Teams agree a one-page standard for presenting data in decision meetings, and we review it in use after 30 days.

Formats

• Half day: a data detective lab or a forecasting tournament, ideal inside a larger meeting.
• Full day: a full lab with a business simulation, live dashboards and a session on your own reports.
• 2–3 day offsite or summit: labs combined with planning sessions, for example before budget season.

How we measure impact, honestly

We use the lab itself as a baseline: teams make estimates and recommendations at the start and the end, so you can see how their reasoning changed. A short pulse survey before and after asks how confident people feel using data in decisions, and a 30-day review looks at whether the agreed presentation standard is being used in real meetings.