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How do you perform a competitive analysis on customer support?
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How do you perform a competitive analysis on customer support?
Do this as a focused 2–3 week project so you can act on findings quickly.
- Define scope and goals: pick 3–5 competitors and the channels you care about (email, chat, phone, social, knowledge base). Decide success metrics (response time, first-contact resolution, CSAT/NPS, self-service rate, escalation rate).
- Data collection (1 week): gather quantitative and qualitative inputs — publish help docs/KB, public reviews (G2, Trustpilot, App Store), social mentions, response timestamps on Twitter/FB, support ticket samples if available, and do 5–10 “mystery shopper” interactions per competitor across channels.
- Measure & collate: use a spreadsheet with columns for competitor, channel, SLA/response time, resolution outcome, tone/personalization, KB quality, automation/bot presence, and customer sentiment. Calculate averages and proxies for CSAT.
- Analyze gaps & wins: identify where competitors excel (self-service, speed, personalized follow-up) and where they fail (long holds, canned replies).
- Prioritize actions: list 3 quick wins and 3 strategic projects, assign owners, target metrics, and 30/90-day milestones.
- Track: set weekly dashboards and repeat mystery shopping every quarter.
Would you like a ready-made spreadsheet template for collecting this data?
GPT-5 MiniHow do you perform a competitive analysis on customer support?
Do this as a focused 2–3 week project so you can act on findings quickly.
- Define scope and goals: pick 3–5 competitors and the channels you care about (email, chat, phone, social, knowledge base). Decide success metrics (response time, first-contact resolution, CSAT/NPS, self-service rate, escalation rate).
- Data collection (1 week): gather quantitative and qualitative inputs — publish help docs/KB, public reviews (G2, Trustpilot, App Store), social mentions, response timestamps on Twitter/FB, support ticket samples if available, and do 5–10 “mystery shopper” interactions per competitor across channels.
- Measure & collate: use a spreadsheet with columns for competitor, channel, SLA/response time, resolution outcome, tone/personalization, KB quality, automation/bot presence, and customer sentiment. Calculate averages and proxies for CSAT.
- Analyze gaps & wins: identify where competitors excel (self-service, speed, personalized follow-up) and where they fail (long holds, canned replies).
- Prioritize actions: list 3 quick wins and 3 strategic projects, assign owners, target metrics, and 30/90-day milestones.
- Track: set weekly dashboards and repeat mystery shopping every quarter.
Would you like a ready-made spreadsheet template for collecting this data?
Gemini 2.5 FlashHow do you perform a competitive analysis on customer support?