Problem
Enterprise customers lack actionable and reliable insights on what their teams are working on because users hate logging time.
Opportunity: Capacity Insights presented an opportunity for Tempo to expand beyond time tracking into strategic planning by addressing a key customer pain point: understanding team capacity across multiple projects and timeframes. As organizations scaled agile practices, they needed clearer visibility into future availability to plan work more effectively. By introducing AI-driven insights, Tempo could differentiate its product suite, deepen engagement with existing customers, and open new revenue streams in the strategic portfolio management space.
My Role: At Tempo, I led design for Capacity Insights, a 0–1 product that aimed to help teams forecast availability using AI-generated insights. I worked closely with PMs and engineers to define core use cases, translate complex capacity data into actionable visualizations, and explore automation opportunities for agile planning. My role spanned from early discovery through prototyping and usability testing to support an iterative build-measure-learn cycle.
How might we help teams anticipate and plan their future availability more effectively through AI-powered capacity insights, so they can make smarter, faster resourcing decisions?
Nicole Merchant 