One invented venture's first hundred days, numbers and all

One venture, invented for this page, followed through a hundred days. Every count is made up and every quote is written rather than collected. What is real is the shape of the reasoning, and in particular the two points where an encouraging number turned out to be measuring something else.

What to take away

The venture

Invented case. A subscription service that prepares monthly compliance paperwork for small trucking operators. Two founders. Manual delivery behind a simple sign-up page. Billed monthly.

They had done interviews. Nobody had paid before day one.

Days 1 to 10: what they set up

Four instruments, decided before launch, which is why this case has anything to read.

Arrival week recorded on every account. Route recorded at sign-up, with contacts of the founders flagged separately from strangers. Every inbound question logged in one file with a date. A cancellation path that worked in one click and wrote a row when used.

The fourth was contested internally. One founder said an easy cancellation would cost customers in the first month. The other said a hard one destroys the record and, where billing recurs, runs against the rule on negative option offers on consent and cancellation without obstacles.

The easy path went in. It produced the most useful evidence of the hundred days.

Days 11 to 30: cohort one

Nineteen sign-ups in the first fortnight. Fourteen of them from routes traceable to the founders' own contacts.

By day thirty, sixteen of the nineteen were still active. Read as a rate that is eighty four per cent, and it was written on a whiteboard as such for about a week.

Two things were wrong: the denominator was nineteen, small enough that two people leaving moves it seven points. Fourteen of the nineteen knew a founder personally, a group with a documented tendency to stay out of goodwill rather than need.

Keeping warm and cold in separate columns is exactly what stops this reading. That is why market validation always treats them as two clearly separate populations rather than one.

Split apart, the honest figures were thirteen of fourteen warm and three of five cold. The second fraction is the one that describes the business, and it is far too small to conclude anything from.

Days 31 to 60: cohort two, and the first real reading

They stopped announcing and ran one repeatable route: a directory listing plus a short piece of writing in a trade forum, both things a stranger could find without knowing them.

Twenty-three sign-ups over four weeks, all cold. By day sixty, nine of the twenty-three were still active.

Nine out of twenty-three against thirteen out of fourteen is not a decline in the product. It is the first measurement of the product, and the earlier figure was a measurement of the founders' address book. Nothing about the service had changed between the cohorts.

The question log had grown to a hundred and forty entries. Grouped, the largest category was not about the paperwork at all. Forty-one entries were people asking whether a given filing applied to them, which is a question about their own operation rather than about the product.

Days 61 to 100: the cancellations

Thirty-one cancellations across both cohorts by day ninety. Each one got a single email question: what were you hoping this would do that it did not do.

Treating people who stopped as the primary source, not an awkward footnote, is the argument the first hundred days makes at length. This case shows what that looks like when someone does it.

Eleven answered. The answers split three ways, and the split is the finding.

The second group changed the decision. Four operators said, in different words, that the service taught them how to do the thing, and then they did not need it.

That is not fixable by making the product better. At a small operator's scale, the work is genuinely an hour, so the service competed with an hour of their own time.

The first group pointed at the offer sheet, not the delivery. They had bought expecting judgment about their situation and received a completed form.

That gap between what the page promised and what arrived must be fixed on the page, not in the product. A claim needs a basis before it runs, and "we handle your compliance" had drifted into implying advice.

The arithmetic at day one hundred

Counting founders' hours at a rate they would have to pay someone, the cost to acquire one cold customer was high enough. At the current price, most of a year of payments was needed to recover it.

Recurring costs were modest; one-time setup work was not. Separating those two made the recovery period readable, as the startup cost guidance sets out.

At that recovery period, growth would need cash they did not have. That fact, and not the retention curve, was what forced a decision.

The decision

Raise the price substantially and restrict the offer to operators above a size where the work is genuinely more than an hour a month. Rewrite the offer sheet to describe exactly what arrives and to stop implying review of the customer's situation. Keep the easy cancellation.

Both moves shrink the addressable audience and both were indicated by the cancellations rather than by anything on a dashboard. The price move needed its own evidence rather than a guess, which is a separate exercise with its own method, set out in pricing validation.

What was still unknown

Whether the larger operators are reachable through the one repeatable route, which was built for the small ones. Whether the higher price survives contact with a stranger, since it had never been said aloud. Whether the second cohort's nine stay past six months, which no amount of work inside a hundred days can answer.

Whether the founders can deliver at the size that would make the arithmetic work, since delivery was still two people and a template. The checklist for the hundred days names the items this venture passed and the ones it left open.

Common questions

Is this a real business?

No. The venture, the counts, and the quotes are invented for this page. Real hundred-day numbers are rarely published and always come attached to a different offer, price, and audience.

Why was the eighty four per cent figure so misleading?

Because it averaged two populations with different reasons for staying, and the larger one was the founders' own contacts. Any figure that mixes warm and cold arrivals will do this, and it will always err in the flattering direction.

Would more customers have helped?

More cold customers, yes, since that fraction was three out of five at day thirty. More warm ones would have produced a bigger version of a number that was already unreadable.

Eleven answers out of thirty-one asked. Is that enough?

Enough to generate a hypothesis, not to confirm one. What made it usable is that the four in the second group said something nobody expected, and unexpected agreement is the signal worth chasing at small sizes.

Why raise the price when people said it was not worth it?

Because they said it was not worth it at their size. The same work is worth considerably more to an operator for whom it is a day rather than an hour. That is a segment decision wearing the clothes of a price objection.