“Add an order management system” is not a requirement.

It is a heading.

The real work begins when we ask who creates an order, what makes it valid, who can change it, which states exist, what happens when payment fails, and how the client will decide it is complete.

I turn broad ideas into shippable scope with one repeatable structure.

Start with the user and trigger

Every workflow begins somewhere.

Write:

When [trigger] happens, [user] can [action] so that [outcome].

Example:

When a customer submits a confirmed cart, an operations user can review inventory and move the order into fulfillment so that the customer receives an accurate delivery update.

Now we can ask useful questions.

Map states, not only screens

Screens are representations.

State is behavior.

For an order:

• draft;
• pending confirmation;
• confirmed;
• waiting for inventory;
• ready for fulfillment;
• shipped;
• delivered;
• cancelled.

Then define:

• allowed transitions;
• actor for each transition;
• required data;
• side effects;
• reversal;
• audit event.

This prevents the UI from inventing business rules one button at a time.

Define permission by action

“Admin can manage orders” is too broad.

Split:

• view;
• search;
• create;
• edit customer data;
• change payment state;
• allocate inventory;
• cancel;
• refund;
• export;
• delete.

Different roles may own different actions.

The backend must enforce the same rules the interface communicates.

Write the failure path

Happy paths make good demos.

Failure paths make usable products.

For each external or risky step:

• validation fails;
• record changed concurrently;
• inventory is unavailable;
• provider times out;
• webhook repeats;
• payment is declined;
• email cannot send;
• user loses permission;
• upload is unsafe;
• retry duplicates work.

Decide what the user sees and what the system does next.

Add non-functional requirements where they matter

Do not create a generic list saying “secure, scalable, fast.”

Attach requirements to the workflow:

• sensitive action requires recent authentication;
• list must paginate after a bounded count;
• export is queued and access-controlled;
• request times out safely;
• tenant data is isolated;
• audit history is retained for a defined period;
• keyboard users can complete the action;
• Bangla and English content stay paired;
• primary page content is server-rendered.

Specific constraints can be verified.

Define acceptance as evidence

“Works correctly” is not acceptance.

Use observable evidence:

• Given an unauthorized tenant user, requesting another tenant’s order returns the safe forbidden/not-found response and no data.
• Given a repeated provider event ID, the system records one state transition.
• Given an invalid inventory quantity, the form keeps user input and announces the field error.
• Given an approved order, the audit history records actor, time, old state, and new state.

Acceptance should include negative behavior, not only success.

Record dependencies and ownership

Scope changes when an external dependency is not ready.

List:

• provider account;
• API access;
• design;
• content;
• domain;
• email sender;
• legal wording;
• data sample;
• stakeholder decision;
• production credentials.

Name the owner and latest safe date.

“Client will provide” without timing is a hidden schedule risk.

Write exclusions in plain language

Exclusions protect focus:

• no mobile application in this phase;
• no historical data migration;
• no automated refunds;
• no custom report builder;
• no additional role beyond listed roles;
• no provider change;
• no offline support.

An exclusion can become later scope.

It should not become a surprise.

Keep a decision log

When a requirement changes, record:

• date;
• decision;
• reason;
• impact;
• owner;
• affected acceptance criteria;
• follow-up.

This prevents the project from debating an old version of reality.

My shippable-scope test

I should be able to answer:

1. Who acts?
2. What triggers the workflow?
3. Which state changes?
4. What rules apply?
5. Which permission is required?
6. What can fail?
7. What does the user see?
8. What proves completion?
9. What dependency can block it?
10. What is not included?

If those answers are clear, estimation becomes more honest and delivery becomes easier to verify.

For cutting an MVP, read how I scope SaaS before code. For communicating change, read my async client system.

If a brief is still one large feature sentence, send me that sentence and the target user.