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Company focus

ProArch

Why has ProArch's data analytics consulting practice experienced a decline in project completion rates since implementing a new project management tool?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis Process Optimization Consulting Data Analytics IT Services Data Analytics Root Cause Analysis Project Management Change Management Tool Implementation
Product Management Root Cause Analysis Question: Investigating project completion rate decline in data analytics consulting

Introduction

ProArch's data analytics consulting practice has experienced a decline in project completion rates since implementing a new project management tool. This issue could significantly impact client satisfaction, team productivity, and overall business performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Considering the timing, I'm wondering if the new tool's implementation coincided with the decline. Could you confirm when exactly the new project management tool was rolled out?

Why it matters: This helps establish a clear timeline and potential correlation. Expected answer: The tool was implemented about 3-4 months ago. Impact on approach: If the decline aligns with the tool's implementation, we'll focus more on tool-related factors.

  • I'm curious about user adoption. What percentage of the team is actively using the new project management tool as intended?

Why it matters: Low adoption could indicate usability issues or resistance to change. Expected answer: About 70% of the team is using the tool regularly. Impact on approach: If adoption is low, we'll need to investigate change management and training processes.

  • Regarding project types, has there been any shift in the complexity or scale of projects taken on recently?

Why it matters: Changes in project scope could impact completion rates independently of the tool. Expected answer: Project types have remained consistent. Impact on approach: If project types haven't changed, we'll focus more on internal processes and tool functionality.

  • I'm thinking about team composition. Have there been any significant changes in team size or structure since the tool was implemented?

Why it matters: Team changes could affect project completion rates regardless of the tool. Expected answer: The team has remained relatively stable. Impact on approach: If the team is stable, we'll concentrate more on tool-related and process-related factors.

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Updated Jan 22, 2025