Laboratory hours do not turn themselves into years of service

## Identify the inference hidden in the promise

The slide moved from a laboratory duration to a product lifetime in a single sentence. It described useful development work, then attached a commercial conclusion that the work had not established. Our fictional endurance programme had examined thirty-six prototypes over a planned 720-hour exercise. Thirty-two completed it and four stopped. The draft presentation used those observations to support a five-year product-life proposition. The problem was not the existence of endurance testing. It was the missing explanation between the observation and the promise.

Technical organisations often perform tests that compress, isolate or reproduce aspects of use. Such work can be valuable. It does not follow that any chosen laboratory duration has a self-evident equivalent in the field. A life prediction requires an appropriate basis, assessed by qualified specialists, including the assumptions that connect the tested conditions to the proposed use. A chief technology officer should ask whether that connection has been established rather than supply it through an optimistic phrase in a management presentation.

The commercial request was legitimate. Customers wanted to understand the product they were considering, and a practical expectation was easier to discuss than a technical report. The business also needed to decide whether further development expense was justified. Refusing to discuss the evidence at all would not have helped either group. The useful response was to explain what the exercise had shown, what it had not shown and which additional work might support a different conclusion. That gave the business a decision without inventing certainty.

I had to be careful about my own language. Saying that a test was promising could be heard as approval of a broader statement, especially when the listener was responsible for a launch timetable. Saying that further work was needed could be heard as an indefinite refusal to decide. I asked the responsible engineering and quality owners to define the open question and its significance. We then made the commercial proposition follow that account, rather than leave a hopeful adjective to carry the missing technical explanation.

This is also a question of who is authorised to draw which conclusion. A sales colleague can explain a customer's need; a finance colleague can examine investment choices; a product specialist can assess the relevant test evidence. Those contributions belong in the same discussion without becoming interchangeable. The CTO should make the connection intelligible while preserving the specialist assessment. Executive seniority does not create a technical relationship between laboratory hours and service years that has not otherwise been justified.

## Account for samples that did not finish

The four prototypes that stopped were not an inconvenient footnote to the thirty-two that completed the exercise. They were part of the result. The reason each stopped, the conditions involved and the implications for the proposed product needed examination. Removing them from the main account would have changed what management believed had been tested. At the same time, it would have been equally careless to assert that four stops proved a particular field failure rate. The exercise had its own design and limits, which the interpretation needed to respect.

This balanced position can be difficult to communicate because it declines both a reassuring headline and an alarming one. It says that the evidence matters, but that its meaning requires work. I find that more useful than treating every incomplete sample as either a trivial anomaly or a definitive verdict. Qualified specialists should explain the findings and the remaining uncertainty. Management then needs to understand what those findings mean for the proposed commitment, including whether the company should narrow the claim, investigate further or reconsider the product plan.

Our programme cost ₹1.1 crore. I kept that amount in the account after removing the five-year statement. It was validation expense, not a benefit created by changing the wording. The team had performed real work and gathered information that could inform subsequent decisions. Yet the fact that money had been spent did not require us to preserve the most ambitious interpretation of the result. Sunk effort can make a weak inference emotionally attractive, particularly when several functions have already organised their plans around it.

There is an opposing risk: management might react to an uncertain result by making every future programme larger and more expensive. More testing is not automatically better testing. The next investigation should address a defined question that matters to the decision, with appropriate expertise and a proportionate scope. A general demand for more evidence can become a way to avoid choosing. I would ask the team to explain how the proposed work could alter the product decision, and what management would do if the result remained unresolved.

The account should also distinguish development evidence from commitments already made. If customers have received a statement that the current evidence does not support, revising an internal slide may not be a complete response. The relevant commercial, quality and professional owners need to assess the actual communications and obligations. In our fictional case, the management lesson is about preventing a draft proposition from outrunning its basis. In an actual business, the response must follow the real facts rather than assume that every overstatement exists only inside a presentation.

## Fund the next question deliberately

A narrower conclusion still leaves an investment decision. The company may fund further investigation, redesign the product, offer a more limited proposition or stop pursuing the original ambition. Each choice has consequences for customers, colleagues and capital. The technical leader should explain the evidence needed for those options without pretending that engineering alone owns the entire decision. Finance, commercial and operating perspectives are necessary, while the technical assessment remains accountable to the people qualified to make it.

I prefer a proposal that states the question the next programme is intended to answer. It should describe why the answer matters, what the available evidence already supports and which assumptions remain open. It should also identify the consequence of an unfavourable or inconclusive result. That last point prevents the programme from becoming an exercise whose only acceptable outcome is approval. A useful investigation can establish that the original proposition should be reduced or abandoned. Its value lies in improving the decision, not always in rescuing the plan.

Directors do not need to become reliability engineers to scrutinise this reasoning. They can ask why the proposed customer promise follows from the available evidence, who reviewed the inference and how stopped samples were treated. They can examine the cost and expected decision value of further work. They should be alert when a precise technical number is followed by a much broader commercial statement with no explanation between them. Precision in the observation does not automatically transfer to the conclusion attached to it.

The thirty-two completions and four stops remained the result of our 720-hour exercise. They did not become a five-year field-life finding because that was the statement the business most wanted to make. Keeping that distinction did not reject innovation or the customer's need for a useful answer. It made the next step more honest: describe what is supported, retain what remains uncertain and decide deliberately whether further work is worth funding. A technical leader should help the business move with an examined proposition, rather than with a duration that has quietly changed its meaning on the way to the customer.