blog-test/introducing-productboard-spark

AI is enabling things that felt impossible just a year ago. But it’s also exhausting. Every week brings a new model, a new approach, another thing you’re supposed to be doing. Your job is to ship great products to your customers, not become an AI infrastructure team.

You’ve trusted Productboard to track customer feedback, manage your product roadmap, and keep your team aligned. But the real work, research, spec-writing, and stakeholder updates, always happened somewhere else. That gap has bothered me for years. Now it’s gone.

Meet Productboard Spark, the first agentic product system built to surface the right customer opportunities, write delivery-ready specs, and scale your team’s best thinking, all from your real product data.

This isn’t a feature launch. We rebuilt Productboard from the ground up as an AI-native product system, so Productboard doesn’t just store your best work, it drives it. Prioritizing work, updating roadmaps, and keeping stakeholders aligned all happen faster now, with less manual coordination.

However you show up to product work, Productboard meets you there.

• If you build product, in any role — Productboard is your new home, where your best work actually happens, not just where it’s tracked.
• If you’re in product ops — Productboard is your new best friend, quietly doing the busywork so you can focus on what moves the team.
• If you’re a product executive — Productboard is your new edge, the fastest way to get your whole org onto AI-first product craft.

Enable Spark in your workspace today.

Specialized Agents for Every Job in Product

Every team we talk to has tried to stitch their own workflows together—general agents, custom prompts, scripts someone built over a weekend. It’s harder than it looks, and most teams give up within a few months. We built Spark so you don’t have to.

Spark runs specialized agents for the different jobs of product work, voice-of-customer analysis, codebase understanding, market research, and so much more. They share context the way your team does. You can’t replicate that with a general agent, and I know, because we spent a long time trying before we built this.

What sets Productboard Spark apart?

• Specialized, not general. Spark runs dedicated agents for feedback analysis, spec writing, competitive research, codebase understanding, and more. Each one built for the job, not a generalist trying to cover everything.
• Context loads automatically. Your product strategy, OKRs, personas, and history are pulled into every task without you lifting a finger. You don’t have to think about how to structure your context every time. Spark already knows.
• Every output is traceable. Every insight, every recommendation links back to a real customer note, a real feedback thread, a real source. If you can’t put your name on it in front of your VP, Spark doesn’t ship it.
• It remembers everything. Every decision, every signal, every spec builds on the last. The longer your team uses Productboard, the less you start from scratch.
• Built for your whole team. Custom agents without structured, shareable workflows break down the moment you try to scale them. Spark is designed so PMs, designers, and engineers work from the same surface, in real time, without the handoff tax. Not just your handful of AI early adopters, but everyone.

Go From Feedback to Delivery Without Switching Tools

The space between knowing what customers need and actually shipping something great used to eat weeks. Spark compresses it into a conversation.

But the real shift is deeper than speed. Teams tell us they’re conceiving and shipping things they never would have started, problems that felt too complex to scope, opportunities that would have stayed buried in feedback. Spark changes what your team decides to attempt.

Here’s how Spark shows up across every stage of the work:

Start with an AI-first foundation

• Full Productboard control, from chat. Search, create, or update any Productboard entity directly from chat, without digging through boards to find what’s changed. Spark previews every edit before it saves.
• Reusable team workflows. Turn any repeatable workflow into a Skill, share it across your team, and schedule it. Your Monday status update now writes itself.
• Permanent company knowledge. Give Spark a home for your strategy, personas, and roadmap so it never asks you to repeat yourself. Every output gets better the more it knows. [Beta]

Surface the customer signals that shape what to build

• Voice-of-customer at scale. Generate a comprehensive voice-of-customer report from your full body of feedback, with every insight traceable to the source. Free from hallucinations, no matter how large. [Beta]
• Auto-surfaced cited insights. Browse a board of AI-synthesized insights from your full feedback set without manually reading a single note. [Beta]
• Evidence-ranked opportunities. Your Spark Home surfaces a ranked list of opportunities, distilled from customer problems and enriched with strategic and competitive context. Click in to explore the evidence, then kick off a spec directly from there. [Beta]

Turn ideas into delivery-ready specs

• Codebase-grounded specs. Connect your GitHub repo and Spark learns your architecture and constraints before writing a single line. Your specs become grounded in how your product actually works, not how you think it might.
• Conversation spec generation. Run our Product Spec skill on any initiative and Spark walks you through feedback, findings, and competitive context before drafting something your engineers and agents can actually build from.
• Direct push to your dev tools. Pull any spec directly into Claude Code, Codex, or Cursor with our new MCP, full context, no copy-pasting, no lost handoff. [Beta]

Measure the outcomes of your work

• Post-launch evaluation. Trigger a launch review, connect your analytics (Pendo, Hex, Amplitude, and more), surface relevant customer feedback, and get a structured doc on what landed and what didn’t, within days of shipping. [Beta]

See it work on your own product data, and enable Spark in your workspace today.

Thank You for Being a Product Maker. Let’s Build.

Twelve years in, and I’ve never felt more certain about where we’re headed.

We always believed product makers were capable of more. That they deserved better than a million tabs, copy-pasting, and context lost in handoffs. That belief is why Productboard exists.

You deserve a system that thinks with you, knows your product, and makes your whole team better.

And the work of keeping up with AI shouldn’t fall on you. We track every meaningful advancement and build it in, so when the next model drops, it just shows up in Productboard. You get the benefit without the legwork.

Watching our customers use Spark for the first time, seeing the moment when it just works, when it knows their product, when the spec writes itself and it’s actually right, I can’t describe how that feels. This is what we’ve been building toward.

And to every customer, partner, and investor who supported us and guided us along the way, thank you. It’s thanks to your passion, your love for the craft, and your grit in execution that we learned, and turned all of that experience into this next evolution of Productboard.

I can’t wait to see what you build with Spark. Let’s make products that matter, together. 🚀

P.S. Join me at our webinar on June 25th where I’ll be sharing what this next evolution means for your team and something special we’re saving for our Productboard customers.