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ProductboardProductboard
Buying intent
49 tracked signals | Top 15 topics are below | Sales and Marketing are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere Productboard's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at Productboard
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
See everyone, not just the first 10
12 people across every department at Productboard, plus a LinkedIn profile link for each.
Primary products / business lines
LinkedIn company profileProductboard is the agentic product system for modern product teams. It features Productboard Spark, a built-in agent that knows your product and customers from day one. As your product agent, Spark allows you to interact with your product data and documents conversationally. It's also specifically designed to power core product workflows, like surfacing customer needs and new opportunities, turn
New capability sought
Employee posts (LinkedIn)Follow-Up; Generative AI; Google Glass
Top accounts researching Productboard
names withheld on the public pageThese are companies whose own people brought up Productboard unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
151,426 companies · 839,012 people are researching Artificial Intelligence
Productboard's own team shows 15 signals on this topic. No one outside Productboard has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Generative AI18,767 cos · 78,543 people
- AI Agent Software25,734 cos · 91,495 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Engineering — 3 people; Customer Success — 2 people; Sales — 2 people; Marketing — 2 people; Leadership — 1 person; HR / Talent — 1 person
What's been said
public posts mentioning ProductboardUp to 9 public excerpts naming Productboard from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.
AI lets product teams ship faster than ever. Which also means that feature bloat is easier than it's ever been. We now run the risk of shipping features that confuse users and that no one uses, all for the sake of shipping with AI. At Productboard , we built a Product Value Leaderboard to hold ourselves accountable for shipping customer value, not features. How it works: 1️⃣ Every feature we ship gets a 12-week adoption curve plotted against a target the PM committed to before any code was written. 2️⃣ Anthony Amenta on our Product Ops team vibe-coded the dashboard in Lovable , wired straight into our Productboard and analytics data. 3️⃣ We track 2 metrics: Weekly Active Makers for end-user features. Weekly Active Workspaces for admin-level capabilities like required fields, where one admin configures it and the whole org runs on. Calibrate the metric to the shape of the feature, or the leaderboard tells the wrong story. 4️⃣ Our entire product team gets in a room monthly to review what we’ve shipped. Each PM gets up and talks about the impact they delivered against what they expected. 5️⃣ When a feature misses, we dig in: bad assumption on usage, missed UX detail, GTM didn't get the word out. The point isn't a "gotcha". It's making sure we don't make the same mistake twice. A lot of teams ship and move on. We built the leaderboard so we couldn't. If you run a product team, steal it. Check out Jenna Potter 's full walkthrough.
May 2026Leadership changes
Web / pressToday Productboard moves to an AI-only operating model. Our founder and CEO Hubert Palan shares the full picture here | Vishal Save
Regulatory exposure
Web / pressProductboard AI Legal Policy and Terms; Master Subscription Agreement | Productboard; Productboard Enterprise Review: 6/10 Readiness Score