A complete AI-generated record can still hide a product problem when each team describes the same product differently. Before adding more research, choose one customer, one use case, and one promise that every product decision must support.
On Tuesday morning, the founder opened the tracker expecting gaps: a missed sales call, an old demo, a customer objection nobody had written down. The record had all of them. It held answer-level responses, source citations, launch notes, sales conversations, product briefs, and the wording used in outbound messages.
The problem appeared when the founder read them in sequence.
The sales note called the product an AI assistant for reducing support workload. A demo described it as a reporting tool for operations teams. The product brief framed it as an automation layer for internal workflows. A recent prospect reply referred to it as a way to make customer data easier to search.
Each description had come from a real conversation. Each sounded plausible on its own. Together, they made it hard to tell what the company was building, which customer needed it first, or what a small team should refuse to build.
A record can preserve confusion perfectly
The tracker had done its job. It remembered the versions of the product that had existed in different rooms, for different audiences, at different moments of pressure.
That creates a risk for AI and SaaS founders. Better records can make disagreement feel like evidence. You can point to five customer conversations and five cited sources, then conclude that the market is broad. Sometimes the market is broad. Often, the company has moved its description to match whoever was in front of it.
A founder selling to a retailer in Accra, a prospective partner in Berlin, and an overseas customer in the US may need different examples. The underlying promise still has to survive the translation. If every version starts with a different job, the roadmap will follow the loudest recent conversation.
The first useful question is small: what would a customer be disappointed to discover the product does not do? Write that answer in one sentence. Then compare every recorded description against it.
NASA lost a spacecraft to a mismatch that each side could read
In 1999, NASA lost the Mars Climate Orbiter as it approached Mars. The spacecraft was built by Lockheed Martin, while navigation work was handled at NASA’s Jet Propulsion Laboratory in Pasadena, California. A mismatch between English units and metric units affected the navigation data.
The failure was not caused by missing information. The data existed, calculations were being made, and teams were working from records they believed they understood. The problem sat in the meaning assigned to the numbers moving between them.
NASA’s Mars Climate Orbiter Mishap Investigation Board documented the failure after the spacecraft was lost. The report is uncomfortable because it shows how a system can carry detailed information while still failing at the handoff that matters.
A product description has the same kind of handoff problem. “AI assistant,” “analytics tool,” and “automation platform” can all describe pieces of the same work. They also imply different buyers, proof points, onboarding flows, pricing logic, and engineering priorities.
The words are not harmless wrappers around the product. They tell the company what to build next.
Pick the version that earns the next decision
The founder’s next move was not to erase the tracker’s history. The conflicting versions were useful because they showed where the company had been pulled off course.
Start by separating three things that often get mixed together:
- The customer’s immediate complaint.
- The mechanism your product uses.
- The outcome you can reliably deliver now.
A customer may complain about slow support. Your mechanism may be AI-assisted retrieval and drafting. The current outcome may be that a support lead can review answers before sending them. Those are different statements, and each belongs in a different place.
Then test the product description against a decision with a real cost. Would you hire an engineer for this? Would you delay a customer request to protect it? Would you use the same sentence in a product demo and in the first line of a proposal?
If the answer changes by audience, identify what is genuinely changing. An example can change. A workflow can change. The core job should remain stable enough that the team can recognize it next Tuesday.
This is close to the problem in The Tuesday Answer in Your Notes, and What It Could Cost Your Roadmap. Notes become expensive when they capture a decision but do not preserve the condition that made it right.
Make the tracker a place to resolve decisions
The most valuable tracker view is not a timeline of everything said. It is a place where the team can see which description won, why it won, and what evidence would reopen the decision.
Keep a short decision record beside the source material: the chosen customer, the product promise, the evidence behind it, and the next event that could prove it wrong. A lost pilot, a repeated objection, or a customer who gets value from an unexpected workflow may be enough to revisit the choice.
NASA’s Mars Climate Orbiter did not lack data. The system failed because compatible interpretation was missing at a critical boundary. Your company can keep every version of the product and still need one shared sentence before the next sprint begins.
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