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Datapult
Datapult

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Once You Have the Schedule: Visualize It Right (And How We Built Ours). Part 3.

An optimally scheduled workforce is only as good as the ability to make sense of it. At our company, we don’t just send back a set of assignments; we deliver a UI built to give you instant clarity on what’s happening, what’s missing, and what might need a tweak or two. Think you can outperform an algorithm? Here’s what we’ve designed, and how you can take inspiration for building your own visualization layer.

Our UI Approach: Focused and Actionable

The UI is purpose-built to zero in on essentials. We don’t drown users in data—they get a clear view of:

  • Flagged conflicts where rules or constraints weren’t met.
  • Unmet demands indicating shifts or skills that couldn’t be filled.

These visuals provide immediate answers to two key questions: “Is this schedule viable?” and “Where do we need intervention?” Manual edits are also possible, allowing users to explore “what-if” scenarios and test if a human touch could improve upon the automated schedule (spoiler: it’s not as easy as it looks).

Key Data Points to Visualize: Clarity First

Not all data is created equal when it comes to usability. Our UI highlights the following points:

  • Shift times and assigned users – ensuring users quickly see who’s assigned where.
  • Skill requirements and skill matches – so it’s clear when qualified people fill the roles.
  • Unmet wishes and preferences – for a balanced approach to employee satisfaction.

Suggestions for Building Your Own UI

Whether you use our setup or not, here are a few principles to keep in mind:

  • Minimize cognitive overload by presenting only the most relevant data upfront. Flag critical issues prominently.
  • Use readable, intuitive visuals that require minimal interpretation—clarity and simplicity go hand-in-hand.
  • Make the interface interactive so that users can dive deeper where needed but aren’t forced to sift through every detail.

With these tips, you’ll have a robust UI that not only supports users but makes workforce scheduling genuinely approachable. When designing, always remember: an AI-optimized schedule is only as good as the user’s ability to work with it.

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