You're at Level 1:
Measurement

Congratulations on bringing data-driven decisions to your company! You’re beginning to develop a data practice, a feat not easy to accomplish. Now you should be establishing baselines to determine how to use data to impact the business.

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Performance levels
Access to insights
Depth of insights
Completeness of insights
Coffee Consumed
avatar
Access to insights
Depth of insights
Completeness of insights
Coffee Consumed

Your Mission at Level 1:

Objective 1

Make sure you establish baselines for engagement, conversion, and other metrics. With this information, you can more easily identify problem areas and quantify success.

Objective 2

If you’re looking to build a data-driven culture, you can’t be an island. Promote access to data and encourage others to do the same. Educate colleagues on what the data means, how to use it, why it’s important.

Objective 3

Nothing kills data efforts faster than untrustworthy data. Validate your results to make sure you have a complete and trustworthy dataset. Heap’s autocapture feature can help.

How to Power Up to Level 2:

Hack 1: Once you have baselines measured and recorded, it will be easily to identify major areas of change. Start making hypotheses about how changes will impact your bottom line. Then start testing: you can run experiments with tools like Optimizely and VWO and measure their effectiveness in tools like Heap.

Hack 2: It critical to get the word out about these data efforts. Build dashboards and reports that you share cross-functionally. Additionally, recruit an executive sponsor to support your data initiatives to help drive adoption across your organization.

Hack 3: Now that you’ve made great strides at Level 1, begin by identifying what questions you can’t answer—you might need to add some data sources like website in-app data, revenue data, and CRM data.

 

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