You are using an LLM to assist in preparing actionable test metrics from raw data. The metrics
include test progress, defect trends, and coverage, which are graphically displayed and explained
with text. Your goal is to improve the test process to ensure the generated metrics are accurate,
actionable, and easily interpretable by stakeholders.
Here is an initial draft of a prompt used to instruct the AI:
Role: Act as a test manager.
Context: You are provided with raw data from test tools.
Instruction: Generate test progress metrics, defect trend metrics, and coverage metrics
from the raw data.
Input Data: Use the attached file containing raw test results.
Constraints: Ensure that the output is concise and understandable.
Output Format: Display metrics on a dashboard.
You are asked to improve this prompt. Which of the following improvements would BEST enhance
the LLM’s ability to produce accurate and actionable metrics?
ASpecify that the role is a test manager focusing on actionable insights and decision support,
ensuring comprehensive analysis of test data.
BAdd an instruction to include potential risks identified from the trends in the generated
metrics, along with their impact assessment and priority levels.
CExpand the output format to include a plain-language summary that interprets the metrics
and outlines next steps for stakeholders.
DEmphasize constraints that the output is also easily interpretable by stakeholders, using clear
language and avoiding technical jargon throughout the response.
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