Analytics Studio

Analytics Studio

Application Design

Application Design

UI/UX

UI/UX

Client / Organization
Perceptyx
Role
Sr. Product Designer (UI/UX)
Team
Cross-Functional

Analytics Studio is the flagship reporting platform in Perceptyx’s employee experience suite. It empowers organizations to explore and act on feedback data from engagement, DEI, 360 reviews, onboarding, and more.

Challenge

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Challenge

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Challenge

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Design a flexible and intuitive data exploration experience that:

  • Works for both data-savvy HR analysts and non-technical people managers
  • Helps users uncover root causes of disengagement or sentiment shifts
  • Makes feedback data immediately actionable, not just readable

To address this challenge, the experience needed to strike a balance between power and simplicity. For HR analysts, it meant offering the flexibility to filter, segment, and dive deep into complex datasets. For people managers, it required surfacing only the most relevant insights, clearly framed and easy to understand, without needing prior analytics expertise.

We focused on creating a guided experience that allowed both audiences to explore patterns, spot root causes of disengagement, and take action confidently. From dynamic filtering to embedded “next steps,” every element was designed to make feedback data not just visible, but truly usable.

Discovery & Research

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Discovery & Research

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Discovery & Research

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A cohesive platform centered around user actions

I led the redesign of Analytics Studio’s reporting experience by introducing role-based dashboards tailored for executives, HRBPs, and managers, each focused on high-priority KPIs with clear paths for deeper exploration. We streamlined filtering with a responsive panel that surfaced the most common queries and applied changes instantly. To help users interpret results, I added contextual cues like tooltips, benchmarks, and trend indicators. I also redesigned the text analytics dashboard to better highlight AI-detected themes, sentiment, and supporting comments. Finally, we integrated action-oriented workflows, linking insights to next steps—like prompting managers to launch a recognition effort when scores were low.

Methods Used:
  • Heuristic audit of the legacy platform
  • Interviews with HRBPs, people leaders, and analytics users
  • Feedback from customer success and implementation teams
  • Competitive analysis (Glint, Culture Amp, Qualtrics)

Key Findings:
  • Users were overwhelmed by the initial dashboard, “Too many numbers, not enough guidance”
  • People managers often didn’t know what to do after viewing results
  • Filters and segmentation tools were too technical or buried
  • Text analytics were underutilized due to lack of clarity and surfacing

Final Thoughts

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Final Thoughts

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Final Thoughts

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Power & Simplicity

  • Enterprise users want power and simplicity, a rare combination that requires tradeoffs and guided UX.
  • Designing for action is as important as designing for insight. The goal isn’t just to show data, but to help users act on it.
  • The best design decisions were made through tight feedback loops with users and internal teams, prototypes in Figma → Slack threads → rapid iteration.