Start with a diagnosis
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Programme Outcome Map & Business Diagnostic

From Subscription, Platform, SaaS & FinTech Business Models · Module 1 — Foundations & Strategy · 7 min read

1. What you will learn

This lesson gives you a diagnostic for a recurring-revenue business. You will define a ninety-day outcome, score your business along the customer journey from acquisition to referral, and find the one leak that costs you the most.

2. The idea explained

A subscription or platform business is often compared to a bucket with a tap running in. New customers pour in at the top, and some leak out through holes. If the leaks are larger than the flow, the bucket empties, however loud your marketing. A diagnostic is simply a way of finding out where the holes are and how big. Because the effect of each hole compounds over months, finding the biggest one early is worth more than any amount of general improvement.

A widely used way to look at the journey has five stages. Acquisition is how people find you and start. Activation is whether they reach the first moment of real value, such as posting a first listing, completing a first task or making a first payment. Retention is whether they keep paying month after month. Revenue is whether each customer pays enough, and whether you can grow that, for example by moving them to a better plan. Referral is whether they bring others. Each stage has a natural number: sign-ups, share who reach first value, share still paying after a set time, average revenue per customer, and share who refer.

Scoring your business one to five on each stage, backed by one fact each, quickly shows the weak stage. If activation is weak, more advertising simply fills the bucket faster. If retention is weak, fix the product promise or onboarding before spending on growth. If revenue per customer is weak, look at price, plans and add-ons. If referral is weak, ask whether customers are delighted enough to recommend you. In many young ventures, it is activation or early retention that fails, not the volume of sign-ups.

Set the outcome first. An outcome is a change you could observe in ninety days, stated with a number, such as raising the share of new customers who complete a first task within three days from 40 per cent to 60 per cent. It should be within reach of your influence. Beware of outcomes that depend on luck or on someone else, since they teach you little. And remember that most new ventures do not succeed, so the aim of the diagnostic is better decisions, not a promised result.

Apply it

3. How to apply it in your own business

Write your ninety-day outcome at the top of a page. Below it, list the five stages and give each a score from one to five, with one fact and its source. For acquisition, the fact might be the number of sign-ups last month. For activation, the share who reached first value. For retention, the share of last quarter's customers still paying. For revenue, average revenue per customer and the share on higher plans. For referral, the share of new customers who came by recommendation.

Where you lack a fact, score two and write unknown. The lack itself is a finding: you cannot manage what you cannot see. Set up the simplest way to record it, such as a column in a sheet or an event tracked by your software. Then ask a partner or a trusted customer to score the same stages independently. Differences of two points or more show blind spots and are worth discussing openly.

Choose the constraint: the stage with the lowest score, or the one most directly blocking your outcome. Write three possible causes and, for each, a cheap test you could run in a week. For a weak activation stage, the causes may be a confusing first screen, a delay before the first value, or a mismatch between promise and product. Decide what you will pause to create room for the fix. Rescore in ninety days to see whether the constraint moved.

Worked example

4. Worked example

Consider Farhan, who runs a subscription service for home-cooked healthy lunch boxes for office workers in Noida. His ninety-day outcome is to raise the share of trial customers who convert to a paid monthly plan from 30 per cent to 45 per cent.

Last month, 80 people took a three-day trial. Of these, 24 converted to a paid plan. Conversion is 24 divided by 80, or 30 per cent. He scores his stages: acquisition 4, because trials are steady; activation 3, since most trial customers eat all three days; retention 2, because of the customers who converted last quarter only 60 per cent are still active after two months; revenue 3; referral 2. The total is 4 plus 3 plus 2 plus 3 plus 2, which is 14 out of 25.

He notes that his stated outcome concerns conversion, yet his biggest score gap is retention. He decides that conversion is worth attention only if the customers who convert then stay, so he adjusts his outcome to include retention. To reach 45 per cent conversion from 80 trials he would need 36 conversions, which is 80 times 0.45. That is 12 more than 24.

He forms three possible causes for weak retention: the menu repeats too often, delivery timing is inconsistent and pricing rises after the trial. He plans a cheap test for each: survey ten lapsed customers, log delivery times for a week, and offer a two-week price freeze to the next 20 converts. He knows the tests are small, and he treats their answers as hints, not proof.

After two weeks he reads the results. Of ten lapsed customers he reached seven, and four said the menu felt repetitive, two said delivery was late twice, and one said price. Four of seven is about 57 per cent, but the sample is tiny. He writes menu variety as the leading hypothesis and plans to change the rotation for the next cohort, while keeping a note that this is his reading of a small conversation and not a proven cause.

5. Common mistakes and how to fix them

The first mistake is pouring money into acquisition when the leak is in activation or retention. Fix it by scoring all five stages before you spend. The second mistake is scoring by feeling. Fix it by writing one fact and its source beside each score.

The third mistake is choosing several constraints. Fix it by naming one and testing three causes cheaply. The fourth mistake is setting an outcome that depends on luck. Fix it by choosing one that your own actions can plausibly move within ninety days.

Key takeaways

6. Board summary

A recurring business is a bucket; find the biggest leak before adding water. Score acquisition, activation, retention, revenue and referral, each with a fact. Unknown figures are findings; start recording them. Name one constraint and test three causes cheaply. Rescore in ninety days.

Check your understanding

7. Practice and self-check

  1. What are the five stages? Answer: acquisition, activation, retention, revenue and referral.
  2. What is activation? Answer: whether a new customer reaches the first moment of real value.
  3. Farhan converted 24 of 80 trials. Rate? Answer: 30 per cent.
  4. His scores are 4, 3, 2, 3, 2. Total? Answer: 14 out of 25.
  5. For 45 per cent of 80 trials, how many conversions? Answer: 36.
  6. How many more than 24? Answer: 12.
  7. Why did he add retention to his outcome? Answer: converts who then leave do not help the business.
  8. What should you score if there is no fact? Answer: two, marked unknown.
  9. Why test causes cheaply? Answer: small tests give hints without heavy cost.
  10. Does the diagnostic promise results? Answer: no, it only improves decisions.

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