hireEZ

Streamlining candidate management workflow through an optimized pipeline for clarity and action

Recruiters juggle numerous openings, at times with over 1000 candidates in a single pipeline. I redesigned the pipeline to be more structured, automated and action-driven. This empowers recruiters to prioritize and take purposeful actions without feeling overwhelmed. The redesign led to a 16% increase in pipeline usage.

Role

Sole product designer

Duration

Oct 2022 - Jan 2023

Team

1 product manager, 6 engineers, 2 data analysts

Background

hireEZ is an AI-powered outbound recruiting platform that helps recruiters find the right candidates for jobs. The pipeline is a space for recruiters to manage their job requisitions and candidates through pre-defined customizable stages/hiring process.

Problem

Recruiters weren't moving candidates beyond the initial stage of the pipeline because

1. they were struggling to determine the next step for candidates,

2. candidate organization on the platform misaligned with recruiters' workflows and mental models.

PROBLEM STATEMENT

How might we structure the pipeline to align with recruiters’ mental models & guide them toward timely, confident actions?

Solutions

The redesign reduced information density, improved visual hierarchy, and mirrored recruiters’ mental models—making it easier to organize candidates and take the next step.

1. Surfacing key insights on candidate cards to reduce cognitive load and prompt timely decisions

Before the redesign, candidate cards used most of their space to display static and irrelevant information such as qualifications. Meanwhile, more critical context, such as contact history, was hidden. The redesign introduced dynamic, stage-based content that adapts to where the candidate is in the funnel—helping recruiters focus on what matters and take the right action at the right time.

BEFORE
AFTER

2.  Redesigning the candidate organization to mirror recruiters' workflows and mental models

Candidate organization was redesigned by introducing an additional layer of flexibility—enabling recruiters to create subgroups within each stage. This moved beyond the rigid, linear model, allowing for more granular organization and targeted bulk actions. Subgroups are visually represented with color-coded tags to prompt quick recognition and action.

AFTER

Impact

Both north-star metrics and supporting metrics are tracked and here are the results after three months.

Feature activation rate
24% increase
Supporting metrics
Click through rate of "email"
32%
Adoption rate of "status" dropdown
75%
Weekly active users of the “Outreach” feature
11%

To learn more about this project

There’s so much more behind this project—deep user research, strategic decisions, roadmap twists, and countless iterations. If you’re curious about the full journey, I’d love to chat and share more!

Contact me

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