Designing a Hiring Dashboard to Evaluate Technical Talent at Scale

Project Summary

Designed an internal hiring dashboard that enabled Onramp’s selection team to efficiently review, evaluate, and track technical candidates. The system centralized candidate history, evaluation signals, and reviewer feedback to support fairer and more scalable hiring decisions.

Company: Onramp
Role: Lead UX Designer
Duration: 1 Month
Platform: Internal Hiring Tools

Context

As Onramp scaled, the team needed to evaluate a rapidly growing number of candidates from non-traditional backgrounds. Existing workflows relied on spreadsheets, fragmented tools, and manual coordination, making it difficult to track candidate progress and maintain consistent evaluation standards.

Focus areas:

  • evaluation workflows

  • top talent discovery

  • data organization

  • candidate communication automation

🔎 The Problem

Recruiters and selection team members struggled with:

  • fragmented candidate data across multiple tools

  • difficulty comparing candidates at scale

  • inconsistent evaluation criteria between reviewers

  • limited visibility into candidate history and feedback

  • time-consuming manual communication with applicants

These inefficiencies slowed the hiring process and made it harder to surface strong candidates.

💻 My Role

I led the UX design of a centralized candidate evaluation system, collaborating with founders and the selection team to understand their workflows and decision-making process.

My work included:

  • stakeholder interviews

  • workflow mapping

  • information architecture

  • dashboard and candidate profile design

  • batch evaluation tools

  • automated candidate communication flows

Collaborated with: founders, selection team, engineering

🤝 Key Insights

Through close cross-functional collaboration with stakeholders, the following key insights emerged:

  1. Evaluation requires context
    which only existed across different types of candidate datapoints

  2. Comparison is critical
    hiring decisions aren't made in isolation, it was necessary to compare multiple candidates at once

  3. Communication was time consuming

    manually sending next-step, acceptance, and rejection emails created unnecessary operational overhead

These insights were critical to creating a scalable, efficient candidate evaluation system that would grow with the company.

⚙️System Workflow

Before jumping in to interfaces, it was important understand how the hiring system works with a simple diagram.

This system allows the selection team to evaluate and identify top performers and would inform the interfaces necessary to build a scalable system to replace the current manual process.

🎯Candidate Interview Feedback

Interviewers needed a fast way to submit unbiased feedback during candidate interviews.
To solve this, it was important to break interview feedback down into structured data fields. This ensured consistency, quality, and fairness in scoring categories. Additionally, modularity provided an easy way to conduct multiple types of interviews.

Key design decisions:

• Structured feedback fields
• Quick scoring signals
• Confirmation state after successful submission

🎯Hiring Dashboard and Candidate Profile

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🎯Finalist Selection

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Project Outcomes

✔ Streamlined candidate review workflows
✔ Centralized candidate feedback and history
✔ Reduced manual coordination across hiring team
✔ Enabled scalable evaluation as candidate volume grew

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