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Company focus

ConnectiveRx

Why has ConnectiveRx's patient engagement platform experienced a 25% decline in active daily users over the last 60 days?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Healthcare Technology Digital Health Patient Engagement Product Strategy User Engagement Data Analysis Root Cause Analysis Healthcare Tech
Product Management Root Cause Analysis Question: Investigating patient engagement platform's daily active user decline

Introduction

ConnectiveRx's patient engagement platform has experienced a 25% decline in active daily users over the last 60 days, signaling a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. From there, I'll generate and validate hypotheses, conduct root cause analysis, and propose a comprehensive plan to address the issue.

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 there might have been a recent product update. Has there been any significant change to the platform in the last 90 days?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Yes, there was a UI overhaul 75 days ago. Impact on approach: If confirmed, I'd focus on usability issues in the new UI.

  • Considering the healthcare nature of the product, I'm wondering about seasonal trends. Is there typically any seasonality in user engagement for this platform?

Why it matters: Seasonal fluctuations could explain some of the decline. Expected answer: Slight dip in summer, but not usually this significant. Impact on approach: If confirmed, I'd look for additional factors beyond seasonality.

  • Given the 25% decline, I'm curious about user segments. Has the decline been uniform across all user groups, or are certain segments more affected?

Why it matters: Identifying affected segments could point to specific issues. Expected answer: Older users (65+) show a steeper decline. Impact on approach: If confirmed, I'd focus on accessibility and ease of use for older users.

  • Considering potential technical issues, have there been any reported problems with app performance or server uptime in the last 60 days?

Why it matters: Technical issues could directly impact daily active users. Expected answer: Some intermittent server issues, but nothing major reported. Impact on approach: If confirmed, I'd investigate the frequency and impact of these issues.

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NextSprints

Updated Jan 22, 2025