Introduction
The decline in customer satisfaction for Bentley Systems's OpenRoads Designer from 85% to 70% is a significant issue that requires immediate attention. This 15-point drop could indicate underlying problems with the product, user experience, or external factors affecting perception. I'll approach this analysis systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions to address the satisfaction decline.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user satisfaction. Expected answer: Yes, a significant update was released. Impact on approach: If yes, we'd focus on changes in that update; if no, we'd look at longer-term trends.
Why it matters: Helps identify if the issue is widespread or specific to certain user groups. Expected answer: The decline varies across different user segments. Impact on approach: If varied, we'd prioritize investigating the most affected segments; if uniform, we'd look at broader product issues.
Why it matters: External factors could influence user perception and satisfaction. Expected answer: A competitor has released a new feature set. Impact on approach: If yes, we'd compare our offering to new market standards; if no, we'd focus more on internal factors.
Why it matters: Ensures we're comparing apples to apples in our satisfaction metrics. Expected answer: No changes to the survey methodology. Impact on approach: If changed, we'd need to account for methodological differences; if unchanged, we can directly compare results.
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