The ABC-eFlow Method is a practical decision framework for small operators who need to make choices before perfect information exists.
It is deliberately plain. No growth hack, operating-system religion, or course funnel. The purpose is to expose weak assumptions early enough that changing direction is still cheap.
The Short Version: A, B, C, then eFlow
A: Assumptions
Write down what you are treating as true before the evidence exists. Demand, traffic, pricing, customer behavior, available time, software capability, costs, and your willingness to keep doing the work all belong here.
B: Baseline
Describe where you are actually starting. What already exists? What is working? What does the current process cost? What traffic, cash, tools, skills, time, and data are already available?
C: Constraints
Find the limits that can defeat the plan even if everything else goes well: money, time, permissions, platform rules, demand, physical capacity, regulation, technical skill, or maintenance load.
eFlow
Choose the lightest workable system, execute it, measure what happened, and let the evidence change the next step.
1. Define the Actual Problem
“I need a website” is often a solution pretending to be a problem. The problem might be that customers cannot verify the business, there is no stable contact path, or a marketplace owns the entire customer relationship.
2. Make the Assumptions Explicit
Hidden assumptions are expensive because they cannot be tested. Write them down before buying software or committing months of work.
3. Establish the Baseline
Without a baseline, almost any movement can be called improvement. Measure the current state before changing it.
4. Find the Constraint That Can Win
Every plan has a constraint with veto power. If you cannot maintain the system, afford the customer-acquisition cost, legally perform the work, or deliver the promised result, the rest of the plan does not matter much.
5. Choose the Lightest Workable System
Do not build for imaginary scale. Solve the present problem in a way that can be maintained. Complexity can be added later; removing unnecessary complexity is usually harder.
6. Test the Smallest Version That Can Produce Evidence
A test should be large enough to teach you something and small enough that a bad result does not become a financial or operational disaster.
7. Measure the Whole Result
Gross revenue, pageviews, leads, and clicks are partial numbers. Include costs, unpaid time, fees, maintenance, refunds, risk, and opportunity cost when they materially change the answer.
8. Decide: Keep, Fix, Scale, Pause, or Stop
The framework is not designed to make every idea survive. Sometimes the correct result is that the system works. Sometimes the result is that it needs repair. Sometimes stopping is the useful output.
Evidence Labels Matter
Firsthand use, direct testing, research, and inference should be labeled honestly. The method gets weaker the moment provenance becomes marketing copy.
Where to Use It
Build uses the method to keep setup proportional. Run uses it for money, records, customers, and tools. Fix uses it to isolate failures. Lessons From the Field preserves the evidence that improves the next round.