Enterprise: The Process and Timeline

Step 1: Set up Analytics

Setup on-site data collection, define tasks and corresponding user patterns, and establish success metrics. (Est. time: 60 min.)

Identify tasks and corresponding user flows.

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Track and aggregate user behaviors to understand how users accomplish assigned tasks.

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Define which metrics you’d like to optimize and create variations.

Example metrics: time to complete a defined task, time between task completion, number of tasks completed per day, number of support calls, etc.

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Integrate optimization metrics into your dashboard or use the TUP dashboard.

Step 2: Deploy UI Variations

Deliver dynamic users flows and measure performance. (2 to 4 weeks after initial setup.)

Get your end users up to speed


Using a setup wizard, TUP will walk each end user through a quick 2-3 minute onboarding process, explaining how UI variation will be presented, how to accept or reject each, as well as how to provide specific feedback.

Use machine learning as well as user feedback to vary the elements on the platform.


TUP’s machine learning predicts and deploys the changes to each user’s interface that correlate with both performance and satisfaction.

Step 3: Individualize and Optimize

Continually improve performance and satisfaction for each individual user. (Begins 6-8 weeks after initial setup.)

With greater use and increased engagement, the UI of each user becomes more efficient and specific, both of which boost loyalty and satisfaction.


As users learn and grow with the platform, they not only experience improvements in performance and satisfaction, but they also have increased loyalty–they feel heard.

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