Handshake

Redesigning the weekly job digest for 7M+ students

Role

Product Designer

Context

Internship

Timeline

Jun - Aug 2025

Tools

Problem

The Weekly Job Digest reaches 7M+ students, but it had become inbox noise with low open rate and clicks.

Before I could redesign the email, I had to define the metric. I measured how students rated each version for trust, clarity, relevance and likelihood to click.

The digest competed with dozens of other emails for each student’s attention.

Research

I audited job digest emails from competitors and re-engagement emails from other industries to identify what drove opens and clicks.

Comparing them side by side shifted my framing from a job delivery email to a re-engagement tool designed to pull students back into Handshake as a whole.

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The strongest emails led with one clear action and put the key details first.

Findings

The strongest digests reduced friction and helped users decide in seconds whether an email was worth their time.

Three patterns stood out specific to our audience:

Scannability over density

Shorter cards with front-loaded info outperform detailed listings.

Qualification signals

Showing why a user received an email builds trust faster than generic recommendations.

Clear CTAs

Emails with one dominant action outperformed those with multiple competing links.

Hypothesis

I built a behavioral messaging matrix mapping our student personas to their stage in the user journey and known motivational levers.

The goal was to identify which message would move each student type forward across the full product lifecycle from onboarding to re-engagement.

Behavioral messaging matrix, personas
Behavioral messaging matrix, journey
Behavioral messaging matrix, social
Behavioral messaging matrix, knowledge
Behavioral messaging matrix, progress

Each message matched a student type and journey stage to the motivation most likely to move them.

Ideation

My initial proposal was a set of emails tailored to each journey stage, targeting the specific reasons students dropped off.

However, our system couldn't segment at that granularity, and the added send volume risked doing more harm than good. I pivoted to making the existing digest smarter by surfacing job details that addressed the trust and relevance gaps I found in research and using data we already had.

A separate email for every journey stage was more than our system could send.

Design Exploration

I developed various job card variations, then narrowed to three directions for testing.

Each variant mapped to a hypothesis: does engagement come from the content itself, the context around a role, or showing students why they qualified?

Each card variant tested one idea: the content, the context around a role, or why a student qualified.

UX Research

I ran A/B tests and surveys with 100+ students, rating each variant on trust, clarity, relevance, and likelihood to click.

Key results:

  • Qualification signals made emails feel more credible

  • Role descriptions helped students feel confident exploring roles outside their usual searches.

  • Plaintext control improved readability, suggesting that visual simplicity itself was a lever.

Final Design

I combined the strongest elements into a hybrid card design, and user testing showed students preferred it to the original by ~22%.

The design balanced what students told us they needed with what our system could actually deliver. Claude helped me sort the email audit and A/B test results into themes, and I chose which signals made it onto the card. Handshake later shipped an updated job digest that built on it.

The hybrid card, with qualification signals and a role summary, rated about 22% higher with students.

Reflection

The biggest lesson was learning when to let a good idea die.

The personalized email system was the more ambitious solution, but the scoped version could be shipped faster, used existing infrastructure, and still delivered results.

Knowing when "good enough to ship" beats "perfect in theory" is what I'm carrying forward from this project.

Next project

University of MichiganBuilding a Google Slides extension to cut accessibility remediation time by ~80%.Jan - Apr 2026