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Product Management Root Cause Analysis Question: Workforce dashboard engagement decline after software update
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Nextsprints

Updated Jan 22, 2025

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Asked at Harri

15 mins

Why has customer engagement with Harri's workforce management dashboard declined by 40% since the latest software update?

Data Analysis Problem Solving User Experience HR Tech SaaS Workforce Management
User Engagement Data Analytics Root Cause Analysis SaaS Workforce Management

Introduction

The recent 40% decline in customer engagement with Harri's workforce management dashboard following the latest software update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

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 timing, I'm thinking the update might have introduced usability issues. Could you provide more details about the specific changes implemented in the latest update?

Why it matters: Understanding the changes helps pinpoint potential friction points. Expected answer: List of major feature changes or UI/UX modifications. Impact on approach: Guides focus on specific areas of the dashboard for investigation.

  • Considering user segments, I'm wondering if the decline is uniform across all user types. Can you share any data on how the engagement drop varies among different user roles or company sizes?

Why it matters: Identifies if the issue is global or specific to certain user groups. Expected answer: Breakdown of engagement decline by user segments. Impact on approach: Helps prioritize which user groups to focus on for immediate resolution.

  • Given the significant drop, I'm curious about user feedback. Have there been any notable increases in support tickets or negative feedback since the update?

Why it matters: Direct user input can provide qualitative insights into the problem. Expected answer: Summary of user feedback trends post-update. Impact on approach: Guides the formation of hypotheses based on user-reported issues.

  • Thinking about system performance, has there been any change in dashboard loading times or error rates since the update?

Why it matters: Technical issues could be a major contributor to reduced engagement. Expected answer: Data on system performance metrics pre and post-update. Impact on approach: Determines if technical optimization should be a primary focus.

  • Considering potential data discrepancies, has there been any change in how engagement is measured or in the systems tracking this metric?

Why it matters: Ensures the observed decline is real and not a result of measurement errors. Expected answer: Confirmation of consistent measurement methods and systems. Impact on approach: Validates the reliability of the data we're basing our analysis on.

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