// ChatGPT use cases and prompts for customer success teams | Part of naiba-openai-work-assistant
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| name | naiba-openai-customer-success |
| description | ChatGPT use cases and prompts for customer success teams | Part of naiba-openai-work-assistant |
| version | 1.0.0 |
| aliases | customer success, cs, client success, account management |
| role | Customer Success |
This skill provides 20+ professional prompts tailored for Customer Success professionals.
Create onboarding plan template
Create a reusable onboarding plan template for [type of customer]. Reference typical timelines, milestones, and stakeholder alignment needs. Format as a week-by-week table with task owners and goals.
Summarize onboarding feedback
Summarize onboarding feedback from our last 10 customers in [segment]. Use these shared notes and survey answers. Output a short paragraph per theme: wins, blockers, suggestions.
Identify best practices for high-touch onboarding
Research how leading B2B companies structure high-touch onboarding journeys. Focus on companies with $1M+ ACV and hybrid onboarding models. Include sources and structure the output as a bulleted summary of key tactics with references.
Suggest proactive playbooks
Recommend 3 proactive outreach playbooks for at-risk customers in [industry/segment]. Use trends from recent churn, feature inactivity, and low engagement. Output should include: goal, trigger, CTA, and timing.
Brainstorm retention incentives
Suggest creative retention strategies for accounts likely to downgrade in [industry]. Use trends in usage and renewal hesitations we've seen. Output 5 tested and 5 novel ideas with pros/cons.
Benchmark CS org structure
Benchmark the CS org structure for companies like ours in [industry, size]. Focus on roles per customer segment and ratio to revenue. Output as a comparison table with notes on headcount ratios.
Benchmark success metrics by industry
Research top 3 success metrics used for customer health scoring in the [industry] sector. Include CSAT, NRR, usage frequency, or other emerging benchmarks. Output as a table comparing metric, source, and benchmark value with citations.
Evaluate CS tooling stacks
Research typical Customer Success tech stacks for companies in early-stage, growth-stage, and enterprise. Include categories (e.g., CRM, Success Platform, Analytics). Output a comparison chart with examples and usage notes.
Competitive enablement summary
Research how competitors are supporting enterprise customers post-sale in [industry]. Include examples of success resources, team structure, and onboarding formats. Output as a table comparing 3 competitors with pros/cons per tactic.
Create competitive comparison of CS programs
Research what customer success programs look like at our top 3 competitors. Focus on onboarding, health tracking, and expansion strategies. Output a comparison matrix.
Draft executive email update
Write a weekly update email for [executive stakeholder at customer]. Use these internal notes from this week's call and usage metrics: [paste here]. Output should be a short, polished email with 3 bullets.
Draft QBR talking points
Summarize the top wins, risks, and product usage highlights for [Customer Name] ahead of our QBR. Use their latest health score, usage trends, and support ticket history. Format as a bulleted prep doc for internal review.
Prep for renewal call
Create a renewal call prep checklist for [Customer Name]. Include contract terms, current usage, known risks, and upsell potential. Output as a bulleted checklist.
Create account plan summary
Draft a 1-pager account plan for [Customer Name]. Use notes from our last 2 calls + contract info + goals: [paste here]. Output should be formatted as goals, blockers, actions, and renewals.
Outline renewal risk summary
Draft a renewal risk summary for [Customer Name] ahead of our internal forecast call. Include their renewal date, usage trend, sentiment, and contract notes. Output should be a paragraph summary + 1-line recommendation.
Outline success metrics by segment
Outline a draft list of success metrics for [segment] customers. Include adoption goals, engagement targets, and renewal benchmarks. Format as a 2-column table: Metric | Definition.
Evaluate CSAT score distribution
Review this CSAT survey data from Q2. Calculate overall average, identify outlier scores, and summarize feedback themes if available. Output as a short summary with key stats and top positive/negative feedback examples.
Analyze support ticket trends
Examine this export of support tickets from the last quarter. Identify the top 5 recurring issues and provide a short summary of root causes. Output should include a ranked list with issue, frequency, and potential CS actions.
Spot early signs of churn
Review this customer usage data from the past 90 days. Identify any customers who may be at risk of churning based on usage drop, login frequency, or support interactions. Summarize the findings in a table with columns: Customer Name | Risk Factor | Notes.
Standardize customer health scoring
Build a draft health scoring rubric for [segment or region]. Use inputs like usage %, NPS, renewal status, and ticket volume. Output as a table with scoring ranges, weights, and color indicators.