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Data-driven decision making - the process of making decisions based on actual data and not intuition or observation alone - is the foundation of Best in Class digital adoption strategies.
In this video, hear how Digital Adoption Professionals create a data practice for their programs.
In order to let data inform progress, and success, it's important to first define it. Starting with a SMART goal ensures the work your team is doing can be measured and informed with data.
For example:
Strategic Goals are clear and understandable objective for a company or team. These are typically large time bound goals aligned to revenue, margin, or organizational risk. However, to get to a Digital Adoption (or technically dependent) Goal, discovery and cascading is often needed.
You can complete this by starting with the following exercise of questions:

As mentioned, all goals should be SMART goals. A critical piece of that is ensuring that the goal is measurable. For Digital Adoption Goals, these metrics should be user behavior based that has an influence or correlation to the strategic goal.
Consider starting with foundational operational metrics:
For example:



Now that you have baseline data you're able to identify improvement opportunities and define a better after state. Define a hypothesis to identify potential issues and identify how you can improve the current baseline data, It's easy.
For example:
Now that you've established the goals, metrics, and data points that are going to inform the success of your WalkMe project - see how your project drives a change in outcomes and metrics and remember - it's OK if it doesn't! Return to the Hypothesis stage often and quickly. Iterate on your solution and track change in metrics.