
First, the MCP integration has been a genuine productivity multiplier. Being able to query Amplitude data directly within my existing workflow, without switching context, has dramatically shortened the path from question to insight. Tasks that used to require multiple steps across tools now happen in a single flow.
Second, the integrated AI agent makes the platform accessible at every level. Instead of manually building charts for every business question, I can ask naturally and get to answers faster. This has been especially valuable for ad hoc analysis and exploratory questions.
Third, Guides and Surveys is a standout feature. The ability to trigger in-app nudges, onboarding flows, and feedback prompts based on behavioral data closes the loop between analytics and action. It lets you engage users at exactly the right moment, with minimal engineering overhead.
Together, these three capabilities make Amplitude feel less like a BI tool and more like an integrated part of how the product team operates. Review collected by and hosted on G2.com.
Event management and schema changes can be challenging at scale. When event names evolve or need restructuring, it tends to have a knock-on effect across charts, dashboards, and cohorts. A more guided migration experience would go a long way in reducing the maintenance burden that comes with a maturing data taxonomy.
Some of the more advanced features have a learning curve. Tools like Pathfinder or custom formula metrics are genuinely powerful, but they reward users who invest time in understanding the platform deeply. Better in-product guidance or contextual tooltips could help teams get more value from these features sooner. Review collected by and hosted on G2.com.






