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Product Management Root Cause Analysis Question: Investigating decreased engagement in mining industry AI dashboard

Why has customer engagement with DataProphet's prescriptive maintenance dashboard decreased by 30% among mining industry users?

Data Analysis Problem-Solving Strategic Thinking Mining Industrial Technology Artificial Intelligence
User Engagement Data Analytics Root Cause Analysis AI/ML Mining Industry

Introduction

The 30% decrease in customer engagement with DataProphet's prescriptive maintenance dashboard among mining industry users is a critical issue that demands immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

My analysis will follow a structured framework, beginning with clarifying questions to gather essential context, followed by a thorough examination of external factors, product understanding, metric breakdown, and data-driven hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a comprehensive resolution plan.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the user segment, I'm thinking this might be industry-specific. Has the 30% decrease been consistent across all mining industry users, or are there variations among different types of mining operations?

Why it matters: This helps us identify if the issue is universal or specific to certain sub-segments. Expected answer: There may be variations among different mining types. Impact on approach: If variations exist, we'll need to analyze each sub-segment separately.

  • Considering recent product changes, I'm wondering if any updates were made to the dashboard in the past few months. Have there been any significant feature additions, removals, or UI/UX changes to the prescriptive maintenance dashboard?

Why it matters: Recent changes could directly impact user engagement. Expected answer: There might have been some updates or changes. Impact on approach: If changes occurred, we'll focus on their potential impact on user behavior.

  • Thinking about the metric itself, I'm curious about its definition. Has there been any change in how customer engagement is measured or calculated for this dashboard?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: The metric definition has remained consistent. Impact on approach: If the definition changed, we'd need to recalibrate our analysis based on the new metric.

  • Considering external factors, I'm wondering about the overall state of the mining industry. Have there been any significant economic or regulatory changes affecting the mining sector in recent months?

Why it matters: External factors could be influencing user behavior independently of the product. Expected answer: There might be some industry-wide challenges or changes. Impact on approach: If external factors are significant, we'll need to factor them into our root cause analysis.

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