FIELD GUIDE / AZION LABS
Build a feasibility study you can question and update
A useful feasibility study makes a decision easier to examine. Mawzoon separates project inputs, software calculations and supporting sources, then presents scenarios and downloadable outputs. Use the report to identify what must be tested before committing resources, and keep the assumptions available for the next revision.
By AZION LabsUpdated:
Who this is forSaudi founders, small-business operators and advisers preparing an initial project assessment.
Describe how the business actually earns money
Begin with the unit you sell: a product basket, billable hour, visit, subscription or occupied day. Record price, expected volume, operating capacity and variable cost in matching units. A monthly sales estimate is difficult to test when nobody can explain the customer count and purchase frequency underneath it.
Give each assumption an owner, date and basis: supplier quote, observed result, published source or planning estimate. Mawzoon’s public description makes that separation central to the report. Replace estimates with local evidence as it becomes available; do not increase precision merely by adding decimal places.
Test cash pressure as well as profitability
A profitable sale can still create a cash gap when stock, payroll or deposits are paid before the customer settles. Map the timing of receipts and payments explicitly. Inspect the lowest projected cash balance, not only the final-year profit. State whether financing and owner contributions are included.
Mawzoon describes a 36-month model with conservative, base and optimistic scenarios. Change a small set of meaningful assumptions together, such as demand, price and collection delay, then explain why. Scenarios show consequences of inputs; they are not probabilities unless a separate, justified probability model is supplied.
Use the study to design the next test
After reading the report, list the assumptions that could change the decision. Turn each into an observable test: obtain a current rent quote, run a small paid pilot, measure service time or check supplier terms. Define the result that would justify proceeding, revising or stopping. A ready-made study can teach the structure, but its city, activity and operating assumptions still need checking against your project.
Workflow
From idea to an evidence review
- 01 →
Define the project
Specify activity, city, business model and operating capacity.
- 02 →
Review inputs
Check units, timing, source dates and missing evidence.
- 03 →
Compare scenarios
Inspect margins, break-even and the lowest cash balance.
- 04 →
Inspect the package
Read the report alongside its financial model and sources.
- 05 →
Validate and revise
Collect local evidence and rerun changed assumptions.
A planning workflow, not a promise of returns or approval by a financing institution.
Decision guide
Keep four kinds of information distinct
| Information | Example | Review question |
|---|---|---|
| Project input | Quoted monthly rent | Is it current and for this location? |
| Calculation | Revenue from price and volume | Are units and periods consistent? |
| Published evidence | A dated sector statistic | Does its scope match the claim? |
| Inference | Demand may support expansion | What additional test could disprove it? |
Transparent classification makes a study easier to challenge and update; it does not guarantee the assumptions.
Metrics explained
- Contribution margin
- Sales revenue less variable costs. Per-unit contribution equals selling price less variable cost per unit.
- Break-even volume
- Fixed costs ÷ positive contribution per unit for the same period. A multi-product business needs an explicit sales mix.
- Net cash flow
- Cash received less cash paid during a period. Include investment and financing separately from operating activity.
- Capacity utilisation
- Planned or actual output ÷ available capacity × 100 using the same unit and time window.
Data & charts
How to read these figures
Every chart identifies its period, unit, and source. Published market data describes its stated market; product inventories describe features or catalog entries. Neither is a measurement of customer results.
Published ready-made study catalogue
The catalogue distinguishes free examples from paid listings. These counts describe listed study products.
Listed studies
Scale starts at zero
Catalogue inventory, not sales, customers or completed custom studies. The library marks paid purchase/download activation as coming soon; check the individual listing for current availability.
Source:Mawzoon ready-made study libraryMawzoon feasibility-study product overview
View the data table
| Category | Value |
|---|---|
| Free study examples | 3 |
| Paid study listings | 9 |
Questions, answered
Is a generated study a guarantee of success?
No. It is a planning assessment whose usefulness depends on the inputs, source coverage and real-world validation. Treat uncertain demand as something to test.
Can a ready-made study replace my own inputs?
It can provide a worked structure. Review its city, activity, pricing, capacity and cost assumptions before applying it to a different project.
Why separate AI writing from financial calculations?
The distinction makes arithmetic reproducible and narrative claims reviewable. Check both: a correct calculation can still depend on an unrealistic assumption.
When should I update the study?
When material assumptions change: rent, supplier terms, staffing, pricing, demand or collection timing. Keep a dated version and explain which inputs changed.
References & further reading
- 01Mawzoon feasibility-study product overview ↗
Mawzoon
Primary description of inputs, scenarios, the 36-month model and report outputs; homepage previews are illustrative.
- 02Mawzoon ready-made study library ↗
Mawzoon
Primary catalogue for the three free examples and nine paid listings, including availability labels.