Insights/Action/Outcome: Cisco Systems set out to make data a catalyst for innovation. By developing an Autocapture feature and integrating it with Amplitude, the team created an automated analytics foundation that dramatically reduced instrumentation time. This new approach reduced customer adoption time by 20% and established a sustainable culture of experimentation.
At Cisco, we focus on building secure, seamless connectivity for enterprises. Like many SaaS platforms, parts of our control plane are built on infrastructure from Amazon Web Services, using cloud compute, storage, and network services to deliver functionality, enforce security and access policies, and route customer traffic to the right destinations.
But as our platform scaled, so did the complexity of our data. Instrumentation cycles were long, engineering resources were stretched, and by the time insights reached product teams, the moment to act had often passed.
As VP of product, I knew we needed a new approach. Product, data, and engineering came together around a simple idea: analytics should move at the speed of innovation. That idea was foundational to integrating Autocapture with Amplitude.
Autocapture started as a cross-functional hackathon project. The goal was ambitious but clear: remove the dependency on manual event tracking. Instead of engineers hard-coding every action, Autocapture automatically detects key user interactions and logs them in real time.
When we integrated it with Amplitude, our teams gained instant access to high-quality behavioral data. Engineers no longer had to prioritize analytics tickets. Product teams could explore user journeys and test hypotheses immediately.
That acceleration gave us freedom. We could focus on improving the product experience rather than instrumenting it.
With faster, richer telemetry in place, our focus shifted to customer adoption. Using Amplitude, we analyzed behavioral patterns to understand where users succeeded and where they struggled during onboarding.
It quickly became clear that not all customers followed the same journey. Enterprise administrators faced different friction points than small teams. By grouping users into adoption cohorts, we uncovered where to simplify workflows and where to provide more guidance.
These insights informed targeted onboarding flows and tailored in-product messaging. The changes shortened time-to-value and improved activation rates. Within months, average customer adoption time dropped by 20%.
The transformation wasn’t just technical; it was strategic. Our legacy metrics focused on activity: logins, sessions, and clicks. We needed to focus on value.
Working with Amplitude, we redesigned our KPI framework to reflect meaningful outcomes, including feature adoption, onboarding success, and long-term retention. This change aligned every team around a shared understanding of customer impact.
Data stopped being something only analysts discussed. It became the language of product, design, and leadership.
What began as a hackathon experiment has become part of Cisco’s operating model. Today, Amplitude powers a unified data ecosystem where insights flow easily between engineering, product, sales, and customer success teams.
Dashboards update in real time, adoption trends are visible at every level, and teams make decisions with confidence. Engineers are freed from repetitive tasks, while product managers iterate faster than ever.
Thanks to Amplitude’s flexibility, we innovate without compromise. It provides the structure we need to move quickly and the clarity to know where to go next.
The systems we’ve built aren’t one-time projects—they’re the groundwork for continuous innovation. Our teams now think in experiments, measure results in real time, and use data to design experiences that matter.
Innovation, to me, isn’t about speed for its own sake. It’s about building systems that make speed sustainable and insights actionable. With Amplitude, we’ve created exactly that.
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