Introduction
The doubling of average response time for SendBird's customer support tickets related to the Calls SDK since the latest release is a critical issue that demands immediate attention. This problem not only impacts customer satisfaction but also potentially affects the product's reputation and adoption rates. To address this effectively, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps pinpoint the timeframe and potential causes directly related to the release. Expected answer: A specific date and a brief overview of major changes. Impact on approach: If the release date aligns with the increase in response time, we'll focus more on release-related factors.
Why it matters: This helps determine if we're dealing with new problems or exacerbated existing ones. Expected answer: A breakdown of ticket types and any notable shifts. Impact on approach: If new issues are prevalent, we'll investigate new features or changes more closely.
Why it matters: This helps identify if the problem is universal or specific to certain user groups. Expected answer: Data on affected user segments, if available. Impact on approach: If specific segments are more affected, we'll tailor our investigation and solutions accordingly.
Why it matters: This helps rule out or consider internal operational factors. Expected answer: Information on any recent changes to the support team or processes. Impact on approach: If significant changes occurred, we'll include operational factors in our analysis.
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