[Solved] Which of the following is a well-structured prompt

Which of the following is a well-structured prompt?

Select the best answer.

a) Generate a BDD feature file for Use Case that I am providing as: [Use Case].
b) Use Case: Creating a feature file for below steps by using BDD framework.
c) Create a feature file for below steps by using BDD feature file.
d) Generate a Use Case for a BDD feature file.

Correct Answer: a) Generate a BDD feature file for Use Case that I am providing as: [Use Case].

What is BDD?

BDD stands for Behavior-Driven Development. It is a software development approach that focuses on how an application should behave from the user’s perspective. It bridges the communication gap between developers, testers, and business stakeholders by using plain, natural language to describe the expected behavior of a system.

Key Points:

• BDD extends Test-Driven Development (TDD) by writing tests in a human-readable format that even non-technical team members can understand.

• It uses the Gherkin syntax, which defines features in terms of “Given–When–Then” statements.

Example (Gherkin format):

Feature: User Login  
  Scenario: Successful login with valid credentials  
    Given the user is on the login page  
    When the user enters valid username and password  
    Then the user should be redirected to the homepage

Here:

• Given sets up the initial context

• When specifies the user’s action

• Then describes the expected outcome

Purpose:

• Promotes collaboration between technical and non-technical team members.

• Ensures clarity of requirements before coding starts.

• Helps in automated testing and documentation simultaneously.

Explanation of Each Option:

a) Generate a BDD feature file for Use Case that I am providing as: [Use Case]. 

Why it’s correct:

• This option follows prompt engineering best practices: it is clear, specific, and structured.

• It uses an explicit instruction (“Generate a BDD feature file”), specifies the expected format/output (BDD feature file), and defines the input source (“Use Case that I am providing as: [Use Case]”).

• It separates input and task, which helps the AI model correctly interpret what is being asked.

• The phrase “[Use Case]” acts as a placeholder for dynamic input, showing the prompt’s reusability and scalability.

Example of execution:
If the use case is “User logs into an e-commerce website,” the AI can output:

Feature: User Login  
  Scenario: Successful login with valid credentials  
    Given the user is on the login page  
    When the user enters valid username and password  
    Then the user should be redirected to the homepage

This clarity makes the prompt both well-structured and effective.

b) Use Case: Creating a feature file for below steps by using BDD framework. 

Why it’s incorrect:

• This is not a clear instruction: It looks more like a description than a prompt.

• The sentence doesn’t tell the model what action to perform (e.g., “Generate,” “Create,” or “Write”).

• A well-structured prompt must include:

  1. Instruction – what to do.

  2. Context – what it’s about.

  3. Input – the data to work on.

  4. Expected format/output – how to respond.

• This option lacks the instruction part, which makes it ambiguous and less actionable.

c) Create a feature file for below steps by using BDD feature file. 

Why it’s incorrect:

• The phrase “by using BDD feature file” is redundant and confusing, because a feature file itself is already a BDD artifact.

• The sentence fails to clearly define the input data (“below steps” are mentioned but not specified).

• It doesn’t clarify the structure or context, leading to ambiguity in how the AI should generate the output.

• A well-structured prompt avoids redundancy and confusion, while this one introduces both.

d) Generate a Use Case for a BDD feature file. 

Why it’s incorrect:

• This reverses the logical direction. Usually, we write BDD feature files from Use Cases, not the other way around.

• The instruction is clear (“Generate a Use Case”), but the intent is flawed — it doesn’t align with standard software development practices.

• Hence, while syntactically fine, it is semantically incorrect for the desired task.

Summary Table

What Makes a Prompt “Well-Structured”?

A well-structured prompt generally includes four key elements:

1. Instruction – What the model should do (e.g., “Generate,” “Summarize,” “Explain”).

2. Context – Relevant background or role (e.g., “You are a software developer using BDD framework”).

3. Input Data – The text or information to process (e.g., “[Use Case]”).

4. Expected Output Format – Defines how the response should be structured (e.g., “as a Gherkin feature file”).

This structure ensures that the AI model can produce responses that are accurate, relevant, and in the desired format.

Source of Information:

• OpenAI Help Center – Best Practices for Prompt Engineering

• Google Cloud Vertex AI – Prompt Design Best Practices

• AWS Generative AI Guide – Structuring Prompts for Effective AI Responses