Introduction
The recent 15% decrease in average deal size reported through People.ai's Opportunity Management module is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, validate hypotheses, and propose targeted solutions to address this issue. We'll examine both internal and external factors, considering technical, user behavior, and product-related aspects to develop a comprehensive understanding of the situation.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minute)
Why it matters: Understanding the update's specifics could reveal potential technical issues or unintended consequences. Expected answer: Information about feature changes, UI/UX modifications, or backend alterations. Impact on approach: Significant changes might shift focus towards product-related hypotheses.
Why it matters: Identifying affected segments could point to specific user needs or behaviors. Expected answer: Data showing variation (or lack thereof) across customer segments. Impact on approach: Segment-specific issues would lead to more targeted solutions.
Why it matters: Ensures we're not dealing with a data anomaly rather than an actual business issue. Expected answer: Confirmation of consistent calculation methods or disclosure of recent changes. Impact on approach: Data inconsistencies would require a different investigative path.
Why it matters: External factors could be driving the change independently of our product. Expected answer: Insights into market conditions or competitive landscape shifts. Impact on approach: Strong external influences would necessitate a broader strategic response.
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