Marketing
Customer Success Manager
Based on 38 assessments
36%
Moderate risk
Average realistic automation risk across all Customer Success Manager profiles in the dataset.
Score spread
Distribution across 38 profiles.
Middle half of Customer Success Managers score between 32% and 42%.
0%
50%
100%
Task breakdown by work type
Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.
Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.
Computer input, real-world output — needs someone to act on it, not just software.
No computer required. Furthest from automation — the strongest human advantage.
Typical tasks
3 synthetic profiles for a Customer Success Manager, ordered by automation exposure.
Tab between them to see how task mix drives the score difference.
Conduct quarterly business reviews with key accounts: present usage insights, discuss goals, and identify upsell opportunities
deep expertise
social core
32%
DA
5%
Build and maintain relationships through check-in calls, emails, and regular touchpoints with assigned customer portfolio
deep expertise
social core
22%
AA
4%
Onboard new customers: conduct training sessions, set up best practices, and create success plans
deep expertise
social core
17%
DA
12%
Respond to customer inquiries, troubleshoot issues, and escalate technical problems to engineering or support teams
13%
DD
50%
Monitor customer health metrics (usage data, feature adoption, support ticket volume) and flag accounts at risk of churn
9%
DD
62%
Create and deliver customized reports, dashboards, or documentation tailored to specific customer needs
2%
DD
52%
Document customer feedback, feature requests, and pain points in internal systems and report trends to product team
1%
DD
88%
Monitor customer health metrics (usage data, feature adoption, support ticket volume) and flag accounts at risk of churn
26%
DD
67%
Conduct quarterly business reviews with key accounts: present usage insights, discuss goals, and identify upsell opportunities
deep expertise
social core
19%
DA
0%
Onboard new customers: conduct training sessions, set up best practices, and create success plans
deep expertise
social core
17%
DA
8%
Build and maintain relationships through check-in calls, emails, and regular touchpoints with assigned customer portfolio
deep expertise
social core
14%
AA
0%
Respond to customer inquiries, troubleshoot issues, and escalate technical problems to engineering or support teams
8%
DD
52%
Document customer feedback, feature requests, and pain points in internal systems and report trends to product team
7%
DD
92%
Create and deliver customized reports, dashboards, or documentation tailored to specific customer needs
5%
DD
45%
Create and deliver customized reports, dashboards, or documentation tailored to specific customer needs
19%
DD
56%
Monitor customer health metrics (usage data, feature adoption, support ticket volume) and flag accounts at risk of churn
19%
DD
68%
Document customer feedback, feature requests, and pain points in internal systems and report trends to product team
16%
DD
100%
Conduct quarterly business reviews with key accounts: present usage insights, discuss goals, and identify upsell opportunities
deep expertise
social core
14%
DA
5%
Respond to customer inquiries, troubleshoot issues, and escalate technical problems to engineering or support teams
10%
DD
49%
Build and maintain relationships through check-in calls, emails, and regular touchpoints with assigned customer portfolio
deep expertise
social core
10%
AA
5%
Onboard new customers: conduct training sessions, set up best practices, and create success plans
deep expertise
social element
7%
DA
9%
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