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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excelAPP-026
5 comments

The Excel Financial Analyst

A financial analyst at a corporation, investment firm, or consultancy for whom Excel is not software — it is the medium of thought. They spend 5–7 hours a day inside spreadsheets. They build models that other people are afraid to open. They have keyboard shortcuts memorized that the rest of the company doesn't know exist. They've rescued a broken model the night before a board presentation. They have opinions about Excel that they share without being asked.

Aha

It happened mid-workflow — they're building a 3-year P&L model for a new product line.”

excelAPP-160
4 comments

The Excel Financial Modeler

A financial analyst, FP&A professional, or investment banker who builds financial models in Excel the way architects build buildings — with structure, precision, and the knowledge that if one formula is wrong, everything above it falls. They've been using Excel for 5–15 years. They think in cell references, not coordinates. They know keyboard shortcuts that most people don't know exist. They've built models that a CEO used to make a $50M decision, and they've spent weekends debugging a circular reference that shouldn't have been circular.

Aha

The CFO asks for a scenario analysis by tomorrow morning: what happens to cash flow if revenue grows 10% slower than projected and two enterprise deals slip to next quarter.”

airtableAPP-001
4 comments

The Airtable Ops Manager

An operations manager, program manager, or department lead at a 20–200 person company who discovered that spreadsheets couldn't hold what they needed to track anymore. They built something in Airtable that their team actually uses. They are not a developer, but they've learned to think like one — tables, relations, fields. They are simultaneously proud of what they've built and anxious about what happens when it breaks.

Aha

A teammate asked how they managed maintain operational data that's accurate enough to make real decisions from.”

clayAPP-011
5 comments

The Clay Growth Operator

A growth lead, revenue ops manager, or technical sales operator who found Clay and spent two weeks rebuilding their entire outbound motion around it. They were already combining data from LinkedIn, Apollo, Clearbit, and spreadsheets manually — a process that was slow, inconsistent, and unscalable. Clay collapsed that into one workflow. They now build outbound lists in hours that previously took weeks. They are evangelical about it. They're also aware that most people at their company don't understand what they've built.

Aha

The head of sales wants a list of 500 Series B SaaS companies that have posted a VP of Sales job in .”

drataAPP-173
4 comments

The Drata Compliance Automation Lead

A security engineer, compliance lead, or CTO at a startup who needs SOC 2, ISO 27001, or HIPAA compliance to close enterprise deals. They chose Drata because the alternative was spreadsheets, manual evidence collection, and $50K in consultant fees. They've connected their cloud infrastructure, HR tools, and code repositories to Drata for automated evidence collection. They understand that compliance is a business requirement, not a security one — the real security work is separate. They are simultaneously grateful for automation and frustrated by how much manual work remains.

Aha

A teammate asked how they managed automate evidence collection across cloud infrastructure, identity providers, and HR systems.”

codaAPP-014
5 comments

The Coda Ops and Strategy Builder

An operations manager, strategy lead, or chief of staff who discovered that the documents they needed didn't fit neatly into either a Google Doc or a spreadsheet. They found Coda and spent two weeks building something they couldn't have built elsewhere — a doc with a database inside it, buttons that trigger actions, and views that update automatically. They are evangelical about it in proportion to how many people they've tried to explain it to. It's hard to explain until you see it.

Aha

Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about the learning curve that separates people who "get" Coda from people who bounce off it in two weeks.”

drataAPP-024
4 comments

The Drata Compliance Manager

A security manager, compliance lead, or IT director at a SaaS company of 50–500 people who is responsible for achieving and maintaining SOC 2 Type II certification. Before Drata, this was a spreadsheet, a shared drive, and a six-month audit season that consumed 30% of their capacity. Drata made it something they can manage in the background with periodic attention spikes. They're not relaxed about compliance — that would be naive — but they're less reactive. That's the win.

Aha

A teammate asked how they managed maintain continuous compliance evidence without a manual collection sprint before every audit.”

clayAPP-199
2 comments

The Clay GTM Engineer

A GTM engineer, growth operations lead, or RevOps professional who uses Clay as their data enrichment and workflow engine. They build spreadsheet-like tables that pull from 50+ data providers — enriching companies with technographic data, finding decision-makers' emails, scoring leads based on signals, and triggering personalized outreach. They think in data transformations and API calls. They've replaced hours of manual prospect research with Clay workflows that run in minutes. They are the engineer of the sales pipeline's data layer.

Aha

The shift was quiet.”

deelAPP-020
5 comments

The Deel Global HR Manager

An HR manager, people ops lead, or COO at a company of 20–200 people that has hired internationally — contractors in one country, full-time employees in another. Before Deel, this involved a law firm, a local accountant, a foreign entity, and a spreadsheet of exchange rates. Deel collapsed that. They can now hire in a new country in days instead of months. They are not naive about the complexity they're offloading — they understand that Deel is doing what they used to do badly.

Aha

They've found the right candidate for a senior engineering role.”

asanaAPP-131
4 comments

The Asana Project Coordinator

A project coordinator, program manager, or PMO lead who uses Asana to keep cross-functional projects on track. They don't do the work — they make sure the work gets done. They manage timelines, dependencies, and status updates across teams that each have their own Asana projects, their own workflows, and their own definitions of "on track." They are the person in every meeting who asks "what's the status?" and "who owns this?" — and they need Asana to give them those answers without asking.

Aha

Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about portfolios that show project status but not the why — "at risk" doesn't explain the blocker in two weeks.”

jiraAPP-121
4 comments

The Jira Engineering Manager

An engineering manager leading a team of 5–15 developers. They use Jira because the company chose it years ago and migration would be worse than staying. They plan sprints, groom backlogs, and build the reports their VP needs for quarterly reviews. They know Jira's power but resent its complexity. They've customized their board exactly once and now they're afraid to touch it. They protect their team from Jira overhead by doing most of the admin work themselves.

Aha

The shift was quiet.”

codaAPP-168
4 comments

The Coda Doc Builder

A team lead, ops manager, or product manager who uses Coda to build interactive documents that are half-doc, half-app. They've built meeting note trackers with automated action items, sprint planning boards with voting buttons, and OKR trackers with progress rollups — all inside Coda docs. They chose Coda because Notion didn't have formulas and Airtable didn't have documents. They love that everything lives in one place. They worry that they've built something only they understand.

Aha

Not a single dramatic moment — more like a Tuesday at 3pm when they realized they hadn't thought about formula complexity escalates quickly — what starts as a simple lookup becomes a nested formula chain in two weeks.”

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