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Company focus

QAD

Why has customer satisfaction with QAD's Cloud EDI service declined by 10 percentage points since the latest software update?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving Strategic Thinking Enterprise Software Supply Chain Management Cloud Computing Product Analytics Root Cause Analysis Customer Satisfaction Cloud Services EDI Software
Product Management Root Cause Analysis Question: Investigating customer satisfaction decline for QAD's Cloud EDI service

Introduction

The recent 10 percentage point decline in customer satisfaction with QAD's Cloud EDI service following the latest software update is a critical issue that demands immediate attention. This analysis will systematically investigate the root cause, considering both internal and external factors that may have contributed to this significant drop in customer satisfaction.

To address this problem, I'll follow a structured approach that includes clarifying the context, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering and prioritizing data, forming hypotheses, conducting root cause analysis, and proposing validation methods and next steps. This comprehensive framework will ensure we identify the true cause of the satisfaction decline and develop effective solutions.

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 software update might be directly related to the satisfaction decline. Can you confirm when exactly the update was rolled out and when the satisfaction drop was first noticed?

Why it matters: This helps establish a clear timeline and potential causal relationship. Expected answer: The update was rolled out on [date] and the satisfaction drop was noticed within [timeframe]. Impact on approach: A close temporal relationship would strengthen the focus on the update itself.

  • Considering the scale of the decline, I'm wondering if this affected all customer segments equally. Have you noticed any patterns in terms of which customers or industries were most impacted?

Why it matters: This helps identify if the issue is universal or specific to certain user groups. Expected answer: The decline was [uniform/varied] across customer segments, with [segment] showing the largest drop. Impact on approach: Segmented impact would narrow our focus to specific user needs or use cases.

  • Given that this is a cloud service, I'm curious about any changes in system performance or uptime. Have there been any significant fluctuations in these metrics since the update?

Why it matters: Performance issues could directly impact user satisfaction, especially for a critical service like EDI. Expected answer: [There have been/haven't been] noticeable changes in system performance or uptime. Impact on approach: Significant performance issues would shift focus to technical infrastructure and stability.

  • Considering the nature of EDI services, I'm thinking about potential integration issues. Has there been an increase in support tickets or complaints about integration problems since the update?

Why it matters: Integration is crucial for EDI services, and any disruption could severely impact customer satisfaction. Expected answer: There [has/hasn't] been a [significant/minimal] increase in integration-related support tickets. Impact on approach: A spike in integration issues would prioritize investigating the update's impact on existing integrations.

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NextSprints

Updated Jan 22, 2025