Fragment is a structured context layer for building products. It connects what your customers say, what your product does, and what your company knows into one structured source of truth that stays current, always. Your team, and the AI agents you build with, work from that context to figure out what to build, instead of digging through Gong calls, Slack threads, and stale docs.

Fragment is for product teams and builders who want to ship the right things faster and smarter. Product managers use it to discover customer needs, validate their ideas, and craft build-ready specs grounded in what their customers really want. Product leaders use it to back their roadmaps, ground their product strategy, and connect between business goals and customer needs. Researchers use it to compress weeks of customer and user research into hours. Founders and builders use it to understand their customers, ship the right things, and iterate less without a research team behind them. Product marketers use Fragment to connect real customer language into their positioning and messaging. Your AI agents use it to prevent context drift and build with less iterations. Fragment is how product teams, builders, and their AI agents ship the right things faster instead of running a feature factory.

What can I do with Fragment?

Fragment does the product work that usually eats your week, grounded in what your customers really want and need. With Fragment you can: - Turn a rough idea into specs your team and your agents can build from - Run continuous discovery hands free, with every Gong, Zoom, and Google Meet call analyzed for you - Find hidden patterns in customer feedback with automated synthesis - Keep a live picture of your customers, product, and company in one place - Generate VoC reports, customer personas, Jobs To Be Done for your users, and more - Prioritize with evidence instead of the loudest opinion in the room - Answer any customer or product question grounded in your customer feedback, product reality, and company knowledge and goals

Does Fragment work with my AI agents (Claude, Cursor, Codex)?

Yes. Fragment connects to Claude Code, Cursor, and Codex through MCP, so your agents pull your customer, product, and company context in any of your workflows. No more agents guessing from a thin prompt. Fragment turns every agent into a long-time employee that actually knows your customers, product, and company.

How does Fragment take a rough idea to a spec?

Fragment takes an idea from hunch to build-ready spec. Start with a business goal like "I want to grow the number of seats per customer", a rough idea, or a question. Fragment pulls in the right context, checks it against what customers actually need, works through solutions with you, and drafts a spec grounded in real evidence and your product. Each spec carries the customer need, the business goal, your product reality, and the decisions behind it, so your team and your agents can start building without guessing.

What can Fragment connect to, and what can I upload?

Fragment works with the tools your conversations already live in, and takes almost anything else you upload. Native integrations: Gong, Zoom (with Fragment's AI notetaker), Google Drive, Fireflies, and Zapier. Beyond those, drop sources straight into a project: transcripts, analytics exports, survey results, PRDs, documents, spreadsheets, images, audio, and video.

Do I have to tag, train, or maintain anything?

No. There's nothing to tag, no taxonomy to maintain, no manual entry, and no model to train. Fragment analyzes every new call, message, and upload automatically, pulls out the feedback, and rolls it into your themes and company context. It gets sharper the more it sees. You keep working, and the picture stays current on its own.

How do I get started, and is there a free plan?

Yes, there's a free plan, and you're running in minutes without connecting anything. Sign up, enter your company website, and Fragment builds your company context automatically so you can start working as fast as possible. Hook up Gong, Zoom, or Google Drive when you're ready, and every past conversation gets analyzed.

How can I find out more?

We love chatting with builders. Drop us a line at [info@fragment.fit](mailto:info@fragment.fit), join our [Slack community](https://join.slack.com/t/fragment-community/shared_invite/zt-3v3oh5oxw-eg_d0aPlW0BtqDWqmObVow), or [book a demo](https://calendly.com/igal-itskovich/your-fragment-demo).

PlaybooksJune 10, 2026By Avidan Nadav

A Customer Asked for an Export Button. Ask These Three Questions First.

The Request Ladder: three questions that climb from any feature request to the job underneath it. Ninety seconds per request, and your backlog stops being a transcription of customer guesses.

A customer asks for an export button. You have two options: write "export button" in the backlog, or spend ninety seconds finding out what they're really asking for.

Here are the ninety seconds. Three questions, one per rung.

Customers are brilliant at pain and mediocre at product design

A feature request is a customer's amateur spec for a pain they know intimately. The pain is real, firsthand, expensive to them. The solution is whatever occurred to them in the moment, shaped by the last tool they used.

Teams that transcribe requests into backlogs end up building the customer's first guess, politely and at scale. The fix isn't ignoring requests. It's climbing down from the request to the thing that produced it.

Rung 1: "What happened right before you needed this?"

The trigger. Every request has a moment that produced it. Find it.

"What made you go looking for an export button this week?" "The board meeting. I needed the adoption numbers in my deck by Monday."

Already the picture changes. This isn't a data-portability request. It's a Monday-deadline request. The trigger tells you the urgency shape of the pain: recurring (every board cycle) versus one-off (a migration), self-serve versus on-behalf-of-someone.

Rung 2: "What do you do today instead?"

The workaround. This is where the real spec lives, because the workaround is the feature they built without you.

"Right now? I screenshot the dashboard and paste it into slides. Then I retype the numbers because the screenshot is illegible on the projector."

Now you know the current cost (an hour, monthly, error-prone), the format that matters (presentable, not machine-readable), and the competition (screenshots, not a rival product). Notice the request is drifting: a CSV export wouldn't even fix the screenshot-retype loop. They'd be reformatting cells instead.

Rung 3: "What does done look like, and who is it for?"

The job. The top rung is never about your product. It's about what the customer is trying to accomplish in their world.

"Done is my CFO seeing that the tool is paying for itself, without me spending Sunday on it."

That's the job: prove value upward, cheaply, on a cadence. And the moment you see it, better solutions than an export button start suggesting themselves. A scheduled report. A shareable live link the CFO can open. A board-ready one-pager. The customer asked for a door handle; the job needed a doorway.

The rule that makes the ladder pay: requests diverge, jobs converge

Run the ladder across your backlog and a pattern appears. Ten customers, ten different requests: export button, Slack integration, weekly digest, PDF generator, API endpoint. Climb each one and you find three jobs, not ten. Report upward. Get alerted to risk. Feed another tool.

That's the entire economics of the technique. Requests scatter; jobs cluster. Build at the request rung and you ship ten mediocre features. Build at the job rung and one feature retires six requests, including requests made in sales calls you never attended, by customers who described the same job in completely different words.

The ladder also tells you what not to build. A request whose ladder ends in a job you don't serve, for a persona you don't target, gets declined with a clear conscience and a clear sentence: "the job under this isn't ours."

Make it a reflex, not a workshop

The ladder isn't a quarterly exercise. It's ninety seconds, in the call, every time a request lands: what triggered this, what do you do today, what does done look like. Write down all three rungs, not just the top one. The request is still useful: it's evidence of the job, with a quote, a name, and an account attached.

We built Fragment to climb this ladder on every piece of feedback automatically: each extracted request carries its trigger, its root causes, and the job underneath, so the convergence is visible before anyone schedules a workshop.

ResearchJun 8, 2026

Your Best Discovery Calls Are Happening Without You.

While you book five discovery interviews a quarter, sales and CS are running two hundred customer conversations. The unprompted objection in a demo is better discovery data than the rehearsed answer in your interview. Nobody is reading it.

PlaybooksJun 9, 2026

The Kill Test: Spend Ten Minutes Trying to Kill Your Own Feature.

Four counter-evidence checks to run before any roadmap pitch. If the idea survives, you walk into the review bulletproof. If it dies, it cost you ten minutes instead of a quarter.