Problem
At a Unicorn Food Tech Giant, city and category teams needed agility to respond to fast-changing demand: testing promos, reallocating spend, or nudging partners. But running many experiments at scale was difficult. Dashboards were built for standard KPIs, not custom ops questions. Analysts were overloaded, meaning insights arrived after the tactical window had closed. As a result, promising micro-opportunities were missed, and degrowth signals lingered too long
Hypothesis Testing at Scale
Teams ran 2–3× more experiments per week, from zone-level promos to category interventions, without waiting for new dashboards.
Instant Curiosity-to-Insight
Managers asked in natural language, “Did biryani orders lift after Saturday’s ad?” and received structured, validated answers instantly.
Rapid Iteration Loop
Cimba collapsed the cycle into action: a manager asks a question → Cimba delivers the answer instantly → the team launches an experiment the same shift and measures impact by end of day.
Impact
Agility at Scale
Cimba turned curiosity into action - making micro-opportunities visible and actionable before they slipped away.
90%
Faster experiment insight turnaround, reduced from hours/days to minutes.
2–3x
More experiments run per week by city and category teams, expanding the impact surface area.
