naiba-openai-customer-success

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

Customer Success Assistant

This skill provides 20+ professional prompts tailored for Customer Success professionals.

Available Categories

Onboarding & lifecycle strategy

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.

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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.

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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.

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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.

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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.

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Competitive & benchmark research

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.

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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.

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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.

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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.

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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.

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Account planning & renewal prep

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.

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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.

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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.

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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.

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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.

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Data & health analysis

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.

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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.

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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.

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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.

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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.

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