In the final stage of product analytics maturity, the entire product development team has access to a full set of accurate data and uses it in every part of product development. The company has unified goals — and everyone is in lock step trying to move the needle on them.
The available metrics and analysis aren’t just occasionally consulted, but consistently used, sought out, and considered. Every team member knows how to use the tool and does so regularly.
In this stage, you go from a gym membership to also hiring a personal trainer to teach you new techniques and exercises you’ve never tried. You’ve even challenged yourself by signing up and training for your first half marathon.
No product development decision is made without the use of product analytics.
Explore Mixpanel
See how product and growth teams use Mixpanel’s powerful reports to answer any question.
Try It With Sample DataCommon markers of Expert stage
At this stage, data can come from a multitude of sources, from cloud imports to customer data platforms. Your product analytics tool is part of your stack, not outside of it.
At its core, building out robust product analytics capabilities is about more than engagement and growth. Because expert product analytics maturity allows in-depth time-series and cohort analysis, teams can start to use the insights to align their product roadmaps with customer priorities, experiment with new features, and more.
Example of Expert
product analytics maturity
Questions you can answer
Consider the questions that can be answered in the Expert stage:
- What’s my product’s equivalent of Facebook’s “7 friends in 10 days”?
- How do various combinations of user behaviors and user attributes affect engagement and retention?
- How do marketing launches cause changes in specific user behaviors or my primary metrics?
- How quickly do users reach my activation metric? What actions are likely to convert activated users to power users?
- How do all my A/B tests affect key metrics over time, and which of them are worth continuing?
- How many times do users repeat a given step in a funnel before moving on to the next step, and how does that affect conversion rates?
At this level, the latest advancements in experimentation and impact reporting are implemented.
For Example
Once the ridesharing app has become expert in product analytics, they’ve successfully learned that a decision isn’t complete until it’s been verified with data. Their product analysis tool is sophisticated and the answers they can get are nearly limitless.
They recognize the importance of continuing to scale their product analytics and want to use experiment and impact reporting well as they do.
What follows Expert?
The work’s not done once your company reaches the Expert stage of product analytics maturity. There’s work to be done to maintain your spot in the final stage.
Employees must be kept up-to-date with changes in your product analytics platform so that they always know what new metrics are being tracked. New team members must be onboarded as soon as possible to live out the data-informed culture.