Anatomy of a diagnosis sprint: 14 days, one case, one lever

"14 days of diagnosis" sounds good until someone asks what actually happens in those 14 days. The honest answer is not a principle, it's a sequence with numbers attached. So let's take a case and work it out.

The case is a typical scenario, not a named client and not a promised result. But the mechanics, the order and the math are exactly how a sprint runs. A service business at 1.6 million euros in revenue, convinced it has a lead problem. By the end of the two weeks there is a different finding and a lever that moves roughly 727,000 euros in annual revenue, without a single extra euro of ad spend.

The setup: a suspected lead problem

The founder calls and already has the diagnosis in hand. "We need more leads. The pipeline is too thin, we have to pour more in at the top." That's almost always the first sentence, and it's almost always wrong. Why the order "solution before diagnosis" is so expensive is laid out in Diagnosis before solution. Here we care about the other question: what do we see when we follow the numbers instead of the hunch?

The scenario's key figures: 1.6 million euros in revenue, average deal value 18,000 euros, sales runs through two people plus the founder. Lead source is a mix of referral and paid acquisition. The feeling in the house: not enough at the top. Nobody on the team had cleanly calculated the proposal acceptance rate.

Week one: data, interviews, hypotheses

The first week is not for talking. It's for seeing. We build a picture of the system from numbers and voices before anyone names a solution out loud.

Day 1 to 3: the data room

We pull the raw data, not the story about the raw data. Pipeline export for the last twelve months, proposals sent, proposals accepted, time to decision, deal values, lead sources. In the scenario one number jumps out immediately that nobody in the house had named: of roughly 404 proposals sent in the year, 89 were accepted. That's an acceptance rate of 22 percent.

Let's check it: 404 proposals, 18,000 euros average value, 22 percent acceptance gives roughly 1.6 million euros. The numbers line up. And they say something other than "not enough leads." Enough comes in at the top to produce 404 proposals. In the middle the business loses four out of five.

Day 4 to 8: interviews and funnel audit

Now the voices come in, checked against the numbers. We talk to the two salespeople, to the founder, to two existing customers and, if possible, to someone who recently walked away. We listen to sales calls or read proposals along with them.

In the scenario a clear pattern shows up. Discovery is thin. Every salesperson asks differently, some barely ask at all, the first conversation quickly turns to scope and price instead of the customer's problem. The proposals are scope lists with a sum at the bottom. No thread from the customer's pain to the outcome. The price sits there naked, with no value built before it. This is exactly where the acceptance rate evaporates.

Day 9 to 12: hypotheses against reality

We form the hypotheses and test them against the data, not against best-practice slides. Hypothesis one: this is not a lead-volume problem, it's a conversion leak at the proposal step. Evidence: 22 percent acceptance at a healthy proposal volume. Hypothesis two: the leak point is not the price itself, it's the missing value runway before it. Evidence: weak discovery, scope lists instead of outcome logic, short conversation time before the proposal.

If the hypothesis holds, more lead budget is the most expensive possible answer. It would scale the 22 percent, so it would lose four out of five additional proposals as well, just with higher acquisition costs on top. More marketing would have solved nothing here, which by the way is true for most plateaus.

Week two: validation, the lever, the decision

The second week turns from seeing to sharpening. We validate the thesis as far as we can without a rebuild, and distill the whole thing down to the one lever.

Day 13 to 14: the one lever

The lever in the scenario is two connected moves, not ten. First, a fixed discovery question sequence, the same one for everyone in sales: problem, cost of the problem, prior attempts, target state, decision path. Second, a new proposal logic: first the customer's problem in their own words, then the target state, then the scope as the path to it, then the price relative to the cost of standing still. Not prettier. More logical.

That's the whole lever. One sentence, one mechanic, one decision. Not a 40-page deck nobody opens, but a change at the single place where the money sits.

What the lever moves in the math

Now the math, plausible and conservative. Lead volume stays the same, not a single euro of advertising is added. The only thing we want to move is the acceptance rate, from 22 to 32 percent. A jump of ten points on a weak proposal process is a realistic target, not a miracle.

Same 404 proposals, 18,000 euros average value. At 22 percent that's 89 deals and roughly 1.6 million euros. At 32 percent it's roughly 129 deals and roughly 2.33 million euros. The difference: about 727,000 euros in additional revenue per year, at identical lead effort and an identical team. The most expensive route would have been to buy more leads to feed the 22 percent.

For context, because it matters: these numbers are an illustrative example scenario meant to make the mechanics tangible. They are not a guaranteed result and not an average across real engagements. What comes out in a specific business depends on the specific diagnosis. That's exactly why the diagnosis comes first and the promise does not.

Why it ends in a decision, not a workshop

The sprint does not end with energy and four slogans. It ends with a handoff and a decision: here is the bottleneck, here is the evidence in your own numbers, here is the one lever, and this is what the first move looks like. You decide with clarity, not with gut feel. How the 14 days are built methodically and why the deadline is deliberately short is in Why 14 days of diagnosis beat 14 weeks of workshops.

If nothing movable comes out of the sprint, no lever, no clarity, no finding with numbers behind it, then the invoice goes away. The risk is on us. So the question for you is rarely "do I need more leads?" The question is: do you know where in your funnel the most money is evaporating right now, and have you ever actually calculated that number?