Persona Library
Community-sourced UX research

Who actually uses these products,
and what made them stay.

Deep persona profiles for the tools that run modern work. Community-validated. Exportable. Open for contribution.

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greenhouseAPP-036
6 comments

The Greenhouse In-House Recruiter

An in-house recruiter at a company of 100–1,000 people managing 5–15 open roles at any given time. Greenhouse is their operating system for hiring. They know it well. They also know all the ways their company uses it wrong — job stages that don't reflect reality, interviewers who don't submit scorecards, hiring managers who give verbal feedback in Slack instead of structured feedback in the system. They are the connective tissue of a hiring process held together by their own follow-up.

Aha

The shift was quiet.”

salesforceAPP-072
6 comments

The Reluctant Salesforce User

An enterprise sales rep at a company with 200+ employees who did not choose Salesforce. It was there when they arrived. They've been trained on it twice. They use about 20% of its features and have found workarounds for everything else. They log activity because their manager checks. They update opportunities because forecasting requires it. They do not believe Salesforce makes them better at sales. They believe it makes their manager better at measuring sales.

Aha

The shift was quiet.”

gitlabAPP-145
4 comments

The GitLab DevOps Engineer

A DevOps engineer or platform engineer who chose GitLab because the promise of "one tool for the entire DevOps lifecycle" was too compelling to ignore. They manage the CI/CD pipelines, configure the runners, set up the security scanning, and maintain the deployment workflows. They appreciate that everything lives in one place — no integrating GitHub with CircleCI with Snyk with ArgoCD. But they've also learned that "one tool that does everything" sometimes means "one tool that does everything at 80%."

Aha

Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about cI pipeline configuration in YAML becomes deeply nested and hard to maintain as complexity grows in two weeks.”

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