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Translating Vague Requirements to Actionable Technical Specifications
1.

What is the immediate first step a Business Analyst or Product Manager should take when presented with a vague problem statement like 'The app feels slow'?

Select one option
2.

A user reports, 'Our website crashes frequently.' This statement is most accurately categorized as a:

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3.

Which of the following is an essential characteristic of a well-defined technical requirement?

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4.

The requirement 'The system must respond to user requests within 500 milliseconds for 95% of all interactions' is an example of which type of requirement?

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5.

The primary purpose of translating vague customer problems into actionable technical specifications is to:

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6.

Explain why defining clear success metrics (KPIs) is crucial when translating a vague problem into a technical solution.

7.

List at least three distinct data gathering techniques a technical analyst might use to diagnose a 'slow app' problem.

8.

Describe the primary role of a Product Manager or Business Analyst in the process of transforming a vague business need into detailed technical specifications.

Scenario: Your company's customer support team reports a recurring complaint from a segment of users: 'The mobile app crashes frequently for some users, especially when navigating quickly between different sections.' This complaint is vague and lacks specific details. As a Business Analyst or Product Manager, you are tasked with translating this into actionable technical requirements for the engineering team.

9.

Outline a step-by-step process that you, as a Business Analyst or Product Manager, would follow to translate the vague complaint outlined in the scenario into specific, actionable technical requirements for an engineering team. Your outline should be comprehensive and include the following stages and considerations:

  1. Clarifying Questions: What specific questions would you ask the customer, users, or other stakeholders to gather more details and narrow down the problem?
  1. Investigation & Data Gathering: What tools, methods, or internal resources (e.g., logs, monitoring dashboards, user interviews, code reviews, existing documentation) would you use to diagnose the problem and collect relevant data?
  1. Hypothesis Formulation: Based on initial information, what are some potential technical hypotheses for the underlying root cause(s)?
  1. Technical Requirements Definition: Provide at least three distinct, quantifiable technical requirements that would emerge from this investigation. Ensure a mix of functional and non-functional (e.g., performance, reliability, security) requirements where applicable.
  1. Success Metrics/KPIs: How would the engineering team measure the success of their solution to this problem once implemented? Provide at least two specific, measurable metrics.
  1. Stakeholder Communication: Briefly describe how you would communicate the identified problem, proposed technical requirements, and expected outcomes back to the original customer or non-technical stakeholders.
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