In a world of relentless CI/CD and accelerating release trains, product leaders like me can’t afford lagging signals or fuzzy readouts on what’s truly moving the needle. I need immediate, trustworthy feedback that connects code shipped to outcomes achieved and customer value created.
Coding agents compress weeks of development into hours, but the faster your codebase changes, the harder it is to know what’s actually helping end-users.
That tension is exactly why I brought Novus into my product toolbox. To keep up with the pace of development, over 600 product teams are already using Novus, the first-of-its-kind product agent, to automatically set itself up, monitor product data, and tell you what to do next.
From my chair, that promise matters only if it translates into clear decisions. With Novus, I’ve been able to tighten the loop between experimentation and learning: it pairs eval-driven development with behavioral analytics and observability so I can see how a release influences activation, engagement, and retention—without spelunking through fragmented dashboards. The agentic AI backbone reduces the manual stitching I used to do across events, cohorts, and funnels, letting me focus on prioritization and product strategy instead of report wrangling.
Day to day, Novus fits naturally into our AI workflows. It surfaces anomalies early, clarifies trade-offs, and frames next-best actions in the language of outcomes. Because it plugs into a unified analytics platform approach, I can maintain continuous discovery at scale while preserving the rigor of Agent Analytics: hypotheses are explicit, telemetry is consistent, and results are traceable. That’s the operating cadence I expect from modern product management leadership.
If your roadmap moves faster than your learning loops, a product agent can be the missing link between speed and certainty. Novus helps me convert rapid releases into measurable wins, keeping the team aligned and confident about what to build next—and just as importantly, what to stop doing.
Inspired by this post on Pendo – Best Practices.
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