Requirements Definition with Codex Client
A self-study textbook covering essential theory, comparative examples, guided practice, quality review, and a capstone exercise. Central question: How can we turn an unstructured meeting transcript into requirements that developers can implement and test?
Learning Goals and Study Routine
How can we turn an unstructured meeting transcript into requirements that developers can implement and test? You complete today’s lesson when you can answer this question in your own words, produce the required artifact, and review its quality.
Explain the difference between one-off chat and Workspace-based work.
Separate roles, actions, rules, and unresolved decisions.
Write functional requirements in a verifiable format.
Design happy paths and major exception paths.
Detect unsupported assumptions in AI-generated output.
Integrate artifacts into a traceable requirements specification.
Recommended self-study routine
- Explain why a problem occurs before memorizing its terminology.
- Describe the difference between good and poor examples using observable criteria.
- Attempt the capstone before opening the model answer.
- Mark missing conditions in a second color and revise your artifact.
Table of Contents
- Study Guide and Learning GoalsPage 02
- Chapter 1. Core Theory and Design PrinciplesPage 04
- Chapter 2. Guided Design PracticePage 05
- Chapter 3. Case Review and Quality CheckPage 06
- Chapter 4. Capstone and Model AnswerPage 07
- Glossary and Final ChecklistPage 08
Submit the capstone artifact, score at least 80/100 on the self-review, and write your own answers to the four concept questions.
Core Theory: Requirements Definition with Codex Client
Each technical term exists to solve a recurring design problem. Study when and why the concept is needed, not merely its definition.
| Core concept | Working definition |
|---|---|
| Context | The files, conversation, and rules the AI uses for its current judgment. |
| Workspace | A project area that keeps related source material and outputs together. |
| Functional Requirement | An observable capability that a user or system must provide. |
| Business Rule | A condition, restriction, or policy that controls a function. |
| Happy Path | The representative flow that reaches the goal without an error. |
| Open Question | An unresolved item that a decision owner must settle before implementation. |
Poor and Effective Approaches
Avoid
Ask the AI to “write a complete specification” from a raw transcript and accept plausible additions as facts.
Prefer
Preserve the source, classify confirmed facts, attach evidence, and move unsupported details into Open Questions.
[Actor] must [perform an action] on [an object] when [a condition holds], producing [an observable result].
A Six-Step Design Workflow
Define the problem
Preserve the raw transcript as an unchanged source file.
Extract the structure
Remove greetings and repetition while retaining confirmed business facts.
Design the core flow
Classify user roles, user actions, system actions, business rules, and open questions.
Add failure conditions
Write one verifiable behavior per requirement and assign a unique ID.
Connect policies
Add happy paths, permission failures, invalid inputs, conflicts, and external-service failures.
Verify and trace
Integrate the documents, verify every statement against evidence, and request human approval before sharing.
Worked Example
Questions for reading the example
- Are the input and initiating condition explicit?
- Are success and failure outcomes observable?
- Are duplication, authorization, concurrency, and dependency failure covered as needed?
- Can the result be traced back to a requirement?
Concept Check and Quality Review
- Why is context more than the AI’s “memory”?
- What makes a requirement verifiable?
- When should a statement become an Open Question?
- Why must external sending remain human-approved?
Answer each in two or three sentences and add one example that supports your explanation.
Self-Assessment · 100 points
| Area | Standard | Points |
|---|---|---|
| Accuracy | Concepts and technical choices match the facts and requirements. | 25 |
| Completeness | Normal flow, boundaries, failures, and recovery are covered. | 25 |
| Consistency | Terms, IDs, states, and interfaces agree across artifacts. | 20 |
| Verifiability | Observable outcomes and completion criteria are present. | 20 |
| Reasoning | The choice and its tradeoffs can be explained clearly. | 10 |
Do not only correct the result. Record which question you failed to ask so your next design process prevents the same omission.
Capstone Exercise and Model Answer
Using the study-cafe notes below, write five functional requirements, one happy path, three exception paths, and three prioritized open questions.
- List assumptions and unresolved decisions first.
- Produce the main design as a table, diagram, or code block.
- Include the normal flow and at least three failures or boundaries.
- Score it with the rubric and compare before and after revision.
Open the model answer
Roles are Student and Owner; the entry device may be modeled as an external system. Requirements should cover seat lookup, two-hour selection, confirmation after payment approval, QR entry, and taking broken seats out of service. Do not invent an offline-entry policy: classify it as a P1 Open Question together with payment methods; cancellation fees can follow as P2.
How to use the answer
The model is not the only valid design. If yours differs, explain the requirement, cost, complexity, or risk that justifies your choice.
Glossary and Final Checklist
| Term | Plain-English meaning |
|---|---|
| Traceability | The ability to connect a requirement to its source and decision history. |
| Edge Case | A boundary or failure condition outside the representative flow. |
| Evidence | The source sentence or decision that supports a requirement. |
| Anti-hallucination Rule | A rule that prevents unsupported content from being presented as fact. |
| Requirement ID | A stable identifier used across design, code, and tests. |
| Approval State | The recorded status showing whether a decision is draft, reviewed, or approved. |
Eight checks before submission
- Can you answer today’s central question in your own words?
- Are inputs, conditions, and results explicit?
- Did you include failures and recovery, not only the happy path?
- Did you review concurrency, duplicate requests, and permissions?
- Did you account for dependency failure and timeouts?
- Can you explain the disadvantages and alternatives to your choice?
- Are terminology and states consistent across artifacts?
- Is there an observable or testable completion standard?
How can we turn an unstructured meeting transcript into requirements that developers can implement and test? Answer it now using evidence from the artifact you created.