LinearProduct-led
The product development system for teams and agents
Proposition clarity4
Visual hierarchy3
Distinctiveness4
Information density4
Live product UI in the heroNamed agents beside human teammatesDecimal section numbering
Product Intelligence Platform
Turn product intelligence into product strategy
See how the world’s best product teams actually operate — what they ship, how they price, how they position, who runs product, the internal tools they build, and how far their AI adoption has actually gone — so you can build a stronger strategy of your own.
Built forHeads of ProductVP ProductC-SuiteProduct Directors
The platform
10,000+ product signals, read and judged so you only see what matters
⬤app.departmentofproduct.com
Signals
Track launches, feature releases, internal tooling, hiring, and positioning shifts in one place.
10,000+ signals judged · 3,317 activeShowing 1–6 of 3,317
Tracking product excellence at world-leading teams
What you can do with it
Product excellence at your fingertips
Signals10,000+
AllLaunchFeatureInternal toolAI adoption
FigmaShipped an agent that turns a design file into a prototypeLaunch2h agoLinearInitiatives now support team ownership and private visibilityFeature18h ago
StripeMoved code review onto an internal coding agentInternal tool1d ago
AnthropicReleased a paper on measuring model introspectionResearch1d ago
RampOpened 8 ML engineering roles across two new officesOrg3d agoProduct Intelligence10,000+ product signals
Put real innovation on your roadmap
Know what the world’s leading product-led companies are actually shipping. Agents and the harnesses around them, new model releases, MCP integrations, voice interfaces, retrieval and eval tooling — alongside the pricing moves, internal tooling and hiring that show what a team is really betting on. Every item is read and judged first, so what reaches you is the handful worth taking into a roadmap conversation.
Spot an emerging technology while it is still a decision, not after it is table stakes.
Ask it yourself
Ask the product questions that shape your strategy
Ask the question you would otherwise take to a week of desk research — how to price AI, whether to bundle it or gate it, what to stop doing. It reasons with the frameworks product leaders actually use, against 10,000+ real market signals, and attaches the pricing pages, launches and teardowns behind every claim. You walk into the meeting with evidence rather than an opinion.
Pick a question
Pick a question to see how it answers.
Deep Research
Get weeks of product research done in minutes
Ask a broader question and DoP Deep Research searches the whole library, then writes it up. All of these sample reports were generated by the platform:
10,000+
product signals read and judged, so you only see what actually matters
400+
sources monitored continuously — blogs, changelogs, filings, job boards
500+
product leaders tracked — who they are and what they say
260+
homepage and pricing experiences captured and scored
UX teardowns
See what makes the best homepages and pricing pages work
Every homepage, pricing page and feature flow is captured, broken down into the patterns it uses, and scored 1–5 against a published design rubric — with each score anchored to something actually on the page. Take the patterns into your next design review, and the scores into your own homepage and pricing pages. A few of the highest-scoring examples in the library:
LinearProduct-ledStripeScores 85 / 100
Transparent per-transaction pricing, no sales call
Price transparency5
Tier clarity4
Comparison density4
AI packaging clarity4
Transparent default pricingInteractive calculatorProgressive complexity
FigmaAI Design Agent
An agent that works on the canvas, not in a sidebar
Capability framing4
Trust & control4
Discoverability3
Output editability5
Native-canvas embedding, not a sidebarDesign-system-aware generation
NetflixNatural Language Search
Search by mood, act on the result immediately
Query expressiveness5
Result relevance4
Path to action5
Mode legibility3
Mood-phrase query over title/genre matchImmediate action from results, no detour to a detail page
PostHogProduct-led
Shift your product into self-driving mode
Proposition clarity4
Visual hierarchy3
Distinctiveness5
Information density4
Left sidebar navigation menuProduct demonstration showcaseSocial proof statement
DeelConversion-led
Hire, manage, pay, & equip anyone, anywhere.
Proposition clarity5
Visual hierarchy4
Distinctiveness3
Information density4
Hero section with dual layoutDual review badgesLogo wall social proof
260+ flows torn down this way across homepage, pricing, AI features, and search — and UX Scan runs the same rubric over your own product, so you can see which patterns you’re missing and where a flow drops people.
Why this is different
This is not competitive intelligence. It is product intelligence.
Knowing exactly what the world’s best product teams are building is genuinely hard to find out. It is scattered across changelogs, engineering blogs, pricing pages, job boards and earnings calls, and nobody assembles it — so most product leaders end up working from a conference talk and a screenshot someone dropped in Slack.
Department of Product does that one job: understanding how leading product organisations actually operate, and turning it into your own strategy and ways of working.
Ask it the questions you can’t just look up:
- How are companies using AI agents internally?
- What new voice UX opportunities should I be aware of?
- What are product leaders saying about the future of design?
- How are companies pricing AI features?
- What new homepage patterns are being shipped?
- How could my company use the new technologies that are emerging?
From the newsletter
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Deep Dive
AI Agents in Practice
50+ real world examples of how companies are using AI agents internally. Square, DoorDash, Cursor, Replit, Gusto and Figma.
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Knowledge Series
How to build a Self-improving Product
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Jun 22, 2026See more of the platform
Learn from the best product teams in the world.
See the platform with your own company set up inside it: the product teams you want to learn from, your homepage and pricing scored against the same rubric, and your AI maturity placed on the same scale as the teams you admire.