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What are you actually trying to improve?
You can spend a whole morning sorting a spreadsheet and still answer the wrong question.
Revenue, contribution, customer complaints and owner time are different measures. The customer who tops your revenue list may also top your rework list. The process that causes the most complaints may not be the one with the highest risk. Start by naming the decision you need to make.
A Pareto chart ranks categories by their contribution to a chosen total. It can help you see a concentration. It does not tell you that the first category deserves every available resource.
Look at the cost of the result
For an owner, I would compare at least two views. Where does useful work come from? Where does avoidable effort go?
Take a representative trading period. Group customers or activities using consistent definitions. Record revenue, direct delivery costs and hours where available. Keep estimates separate from recorded facts. Do not spread every overhead evenly across customers and assume the resulting account profit is precise.
For a startup, the strongest early use may be a concentration of unanswered questions. Which assumption could make the offer unworkable? That may deserve attention before optimising a tiny customer dataset. Three early buyers do not establish a stable customer pattern.
An illustrative account review
Imagine ten customers produce $100,000 in monthly revenue. Two account for $65,000, not $80,000. The concentration is still useful to examine.
Customer A pays $40,000 and requires $34,000 in directly attributable delivery costs. Customer B pays $25,000 and requires $12,000. Before shared overhead, A contributes $6,000 and B contributes $13,000. A is bigger. B currently contributes more.
You would still need to check the cost assumptions, payment timing, future commitments and service quality. A might be an introductory project with improving economics. B might depend on one person whose workload is unsustainable. The numbers start the discussion. They do not finish it.
Use the pattern without creating another problem
There are several possible responses. Adjust a scope. Improve a costly handover. Stop discounting work that already has limited capacity. Learn why a good customer chose you. Test a similar customer group without making promises you cannot deliver.
Do not immediately remove the smallest customers. Some may be easy to serve, pay promptly or provide useful diversity. Others may have little commercial fit. Check rather than assume.
Equally, do not put everything into the largest account because it already supplies most revenue. Improving a concentration can also increase dependence. The decision needs both an opportunity view and a downside view.
Apply it to your own week
Review ten working days. Separate work only you can reasonably do from decisions waiting on you because no rule exists. Record the time and the consequence of delay.
A two-minute approval can hold up a job for two days. Counting only your minutes misses the customer's waiting time. That distinction matters more than whether exactly 20% of your activities produce 80% of a result.
Choose one recurring decision to clarify or delegate. Specify the limit, the person responsible and when they must escalate. Check whether the work moves faster without increasing errors.
Keep the priority open to challenge
Write down why the selected category deserves attention and what could make the conclusion wrong. Repeat the review after the change using the same definitions. Include customers who left and work you declined, rather than analysing only the easy successes.
The useful question is not, "Have we found our 20%?" It is, "What have we learned about where our effort makes a difference?"
Look behind your largest accounts
Use one row per account: anonymous label, revenue, direct service cost in AUD. These are fictional starting figures.
This calculation runs in your browser. Nothing entered here is sent to Greg or the website. Use anonymous labels. Results illustrate the stated assumptions, not a forecast or personal advice.
Your next action
Use a real period with at least ten observations where available. Rank one outcome, then add a second view of effort or risk. Choose one change. State what you will protect while testing it. For a pre-launch business, use a list of assumptions instead of inventing customer numbers.
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Lesson: The 80/20 principle for owners and startups: test your actual numbers. Please do not include confidential client, financial, health or staff information.
Questions this lesson answers
What is the 80/20 rule in corporate?
In a corporate setting, the 80/20 principle is a prompt to find concentrated outcomes or problems using actual data. It is not permission to neglect the remaining work.
What is the 80/20 rule for startups?
For startups, use it to prioritise evidence and effort. Small early samples do not establish stable 80/20 customer patterns.
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