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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quickbooksAPP-064
6 comments

The QuickBooks Small Business Owner

A small business owner — a contractor, consultant, retailer, or service business — doing their own bookkeeping in QuickBooks because they can't yet justify what an accountant costs. They are not a numbers person by nature. They are running QuickBooks because they were told they had to, not because they wanted to. They feel mild anxiety every time they open it and have not reconciled their accounts in two months.

Aha

Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about transactions that categorize wrong and silently corrupt their books in two weeks.”

apolloAPP-194
3 comments

The Apollo Sales Development Rep

A sales development representative or outbound sales rep at a B2B company who uses Apollo as their prospecting command center. They build prospect lists from Apollo's database, enroll them in email sequences, track opens and replies, and try to book meetings. They send 50–200 outreach emails per day and know that personalization is the difference between a reply and the spam folder. They are a relationship builder working at volume, and they've developed an intuition for which prospects will respond and which won't.

Aha

The shift was quiet.”

heightAPP-187
2 comments

The Height Autonomous Project Tracker

A product team lead or engineering manager at a startup who chose Height because it promised what every PM secretly wants: a project tracker that maintains itself. They use Height's AI features to auto-triage bug reports, suggest task labels, and identify duplicate issues. They still do the strategic work — prioritization, sprint planning, roadmap decisions — but the administrative overhead of keeping the tracker clean is lower than with Jira or Linear. They are cautiously optimistic about AI in project management — it works 75% of the time, and the 25% it doesn't requires less effort to fix than doing it all manually.

Aha

A teammate asked how they managed reduce the time spent on task triage, labeling, and organization by 50% with AI assistance.”

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