Protected: Data-Driven Recruitment Dashboard

The Talent Acquisition Dashboard is a KPI-focused analytics tool for recruiters at CleverConnect. When I joined, the dashboard had already undergone initial discovery, scoping, and prototyping by a previous team, but had received negative client feedback and suffered from low engagement. With no handover, I was tasked to take over, re-synthesize research, and deliver a…


The Talent Acquisition Dashboard is a KPI-focused analytics tool for recruiters at CleverConnect. When I joined, the dashboard had already undergone initial discovery, scoping, and prototyping by a previous team, but had received negative client feedback and suffered from low engagement. With no handover, I was tasked to take over, re-synthesize research, and deliver a new, actionable design direction.

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Challenges

Inherited, fragmented project with no handover or overlap

Broken dataset and unclear KPIs

Low engagement (30–40 interactions/month from 60–80 DAUs)

Feedback: lack of filtering, unclear metrics, limited drill-down, and data trust issues

My Responsibilities

Conducted new interviews & synthesized old + new research notes

Documented KPI documentation and metric logic

Finalized scope and validate technical feasibility

Defined success metrics

Built reusable Figma components for KPI cards, banners, and filters

Impacts

Transformed a static dashboard into a modular, interactive experience that gives recruiters real-time, actionable insights

Set a clear direction for a fragmented project

Implemented a user-centered and data-driven process by integrating user inputs and metrics

Exploration & Discovery

Conducted new interviews with users and stakeholders (customer success managers + account managers)

Resynthesized all available discovery research notes

Key Insights

Internal teams struggled with data discrepancies across sources

Users need to filter by company, location, department, and job

Confusion over how KPIs are calculated → data distrust

Inability to drill down or act on data directly from the dashboard

Defining Objectives & Success Criteria

Query usage data to position KPIs strategically

Defined KPIs and information architecture in close collaboration with product, data, and engineering teams

Collaborated with Product Manager and Tech Lead to finalize scope and validate technical feasibility

Defined success metrics

  • Time on dashboard page (engagement proxy)
  • Number of interactions (filter usage, drill-downs)
  • Qualitative feedback from recruiters and CS

Design & Delivery

KPIs are prioritized for both user value and business impact

Every metric is explained with tooltips to ensure transparency

Filters allow users to segment data by company, department, and more

Visualizations make trends and insights easy to spot.

Drill-down links connect KPIs to relevant workflows for deeper analysis.

Reusable Figma component library for scalable design

Outcome & Current Status

The new dashboard is in active development. User-facing results and engagement metrics are pending release

Achieved stronger internal buy-in from cross-functional stakeholders

Established a foundation for future measurement of dashboard adoption and feature engagement post-launch

Key Takeaways – User Experience

Filters and personalized views are critical for relevance and daily use.

Clear explanations of metric logic and consistent data across sources are essential to building user trust.

Communicating actionable next steps is crucial for sustaining user engagement

Key Takeaways – Business

Usage analytics were essential to measure success and focus on what mattered most for users and the business

The pain of reconstructing project context and re-establishing clarity after a non-existent handover could have been avoided by proper, ongoing project documentation

Team & Stakeholders

Maria Henkhaus – Product Manager

Romuald Restout – Chief Product Officer

Benjamin Domenc – Engineering Manager

Andras Szabo – Software Engineer