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 9, 2026By Avidan Nadav

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.

Before your next roadmap pitch, spend ten minutes trying to kill the thing you're about to propose.

Not stress-test it. Kill it. Four checks, in order, and you take whichever verdict comes back. Here's the protocol.

Why your brain won't do this on its own

You've spent two weeks with this idea. Every quote you've collected supports it, because supporting quotes are the only kind you searched for. "Find me evidence for X" is the most common research query in product, and it's not research. It's shopping.

The model that helped draft your PRD can't help either. It produced the claims; it is structurally the last thing that will tell you they're unsupported. Disconfirmation has to be a deliberate act, with deliberate questions. These four.

Check 1: The reversal

Search for the opposite of your claim.

Your pitch says customers want a simpler dashboard. Go look for customers asking for more: more density, more controls, more columns. Not whether they exist (someone always does) but how they compare. If "simpler" has 4 voices and "more powerful" has 11, your feature isn't a simplification. It's a redesign for the wrong cohort.

The reversal takes two minutes and kills more bad pitches than the other three checks combined, because nobody has ever run it on their own idea voluntarily.

Check 2: The unprompted count

How many accounts raised this without being asked, in the last 90 days?

Not "how many agreed when I asked." Agreement is free; customers are polite. The number that matters is how many brought it up on their own, in a sales demo, a renewal call, a support thread, with no PM leading the witness.

If the unprompted count is approximately zero, you are looking at a manufactured need: an idea that lives in interviews and dies in the wild. Park it. If it's high and recent, keep going.

Check 3: The concentration check

Who exactly is asking?

Twelve mentions sounds like a pattern. Twelve mentions from one large, loud account is one customer with good follow-up skills. Spread the count across unique accounts, then look at the segments. Evidence concentrated in a single account is a feature request. Evidence concentrated outside your target segment is a distraction wearing a pattern's clothes.

The question to answer before moving on: would I still build this if that one account churned tomorrow?

Check 4: The workaround check

What are they doing about it today?

Real pain leaves marks. Spreadsheets, Zapier chains, an intern who does it manually every Friday, a competitor's tool wedged into the gap. If customers have built workarounds, the pain is funded and the feature has a displacement path.

If nobody has built anything, one of two things is true: the problem is impossible to work around (great, you've found a wedge) or it doesn't hurt enough to bother (you've found a nice-to-have). The follow-up calls that distinguish those two are the most valuable interviews you'll run this quarter.

The verdict

Survives all four: walk into the review with the counts attached. You're not defending an idea anymore; you're presenting a claim with receipts.
Dies on 1 or 2: you just saved a quarter of engineering for the price of ten minutes. Say so in the review. Killing your own idea in public buys more credibility than shipping a mediocre one.
Dies on 3 or 4: the idea isn't dead, it's misaddressed. Re-segment it or re-scope it and run the test again.

The Kill Test works on paper with any searchable archive of customer conversations. It works in minutes when the archive is already structured. Either way, the principle holds: a finding you didn't try to kill is an opinion with citations.

We built Fragment's research agent to run this by default: ask it a thorough question and the counter-evidence comes back attached, whether you wanted it or not.

Product LeadershipJun 5, 2026

"The Customer Said" Is the Most Dangerous Sentence in Product.

It's the one claim in the room that should require a citation and never gets asked for. In 2026 half of them came out of an AI draft, and you can't tell which half.

Product LeadershipJun 4, 2026

You Don't Have a Prioritization Problem. You Have a Memory Problem.

RICE, MoSCoW, weighted scoring. Precise arithmetic on inputs that are mostly vibes. You're not bad at deciding. You're deciding on bad evidence.