Introducing Journey Recommendations: AI-Powered Insights in MiaProva

Today marks an exciting milestone for MiaProva and the organizations that rely on it to scale their optimization and personalization programs. We’ve officially released Journey Recommendations, the first of many AI-driven features designed to transform how teams analyze, report, and act on test results.

Why Journey Recommendations Matter

For years, MiaProva has helped enterprises streamline experimentation by connecting seamlessly with platforms like Adobe Target, Adobe Analytics, GA4, Jira, Workfront, Slack, and Teams. These integrations have given programs the ability to:

  • Automate test result reporting
  • Set up real-time alerting and risk mitigation
  • Ensure transparency and visibility across teams

But as testing programs grow, managing dozens—or even hundreds—of metrics across multiple platforms can become overwhelming. That’s where the concept of Journeys comes in.

What Is a Journey in MiaProva?

Unlike traditional “customer journeys” in Adobe CJA, MiaProva Journeys are custom groupings of metrics that matter most to your business objectives.

For example, a bank might define:

  • Prospect Journey: new accounts started, accounts funded, registrations completed
  • Customer Journey: logins, deposits, additional accounts opened

By bucketing metrics into meaningful Journeys, MiaProva ensures every test defaults to the right perspective automatically—eliminating manual setup and accelerating insights.

The Power of Journey Recommendations

The new Journey Recommendations feature takes this one step further by adding AI-driven analysis on top of your Journeys. For any test pulling data from Adobe Target, Adobe Analytics, CJA, or GA4, MiaProva now automatically surfaces tailored recommendations through three distinct lenses:

  • Analyst Deep Dive – detailed analysis with statistical considerations for data experts
  • Executive Brief – concise, high-level insights for decision-makers
  • Learning First Lens – a focus on key takeaways and forward-looking actions

This means whether you’re an analyst, a program leader, or an executive sponsor, MiaProva delivers the right level of insight without the need for additional customization.

Real-Time AI, Real-World Impact

In the demo, Journey Recommendations flagged a sample ratio mismatch in real-time—an issue that could compromise test validity if left unnoticed. These kinds of alerts, combined with AI-generated perspectives, ensure teams make better, faster, and more reliable decisions.

Looking Ahead

Journey Recommendations is just the beginning. This release represents MiaProva’s first major step in incorporating AI into optimization management, with many more features slated for release in the coming months.

Early beta feedback has been overwhelmingly positive, and now every MiaProva customer has access to this powerful new capability.


With Journey Recommendations, organizations can stop drowning in data and start focusing on insights that matter.

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