Self-Serve Support Tooling
KOHO
Shifted resolution from engineering → support-owned, self-serve workflows
+1
engineer capacity
↓ 50%
support escalations
Context
Support relied on engineering to resolve repetitive issues, creating a bottleneck that slowed response times and reduced capacity. Chose to invest in self-serve tooling over expanding support headcount to scale support.
What I drove
Identified high-frequency escalation patterns driving support load
Designed self-serve workflows enabling support to resolve issues independently
Defined API requirements to expose critical data and actions
Led rollout and enablement to drive adoption across support
Impact
↓ 50% support escalations
+1 engineer capacity redirected to product development
Faster resolution times for users
Takeaway
The highest leverage was from giving the right team the right tools, unlocking speed and capacity.
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