A strategic deep-dive into the architectural design of automated logic flows intended to turn reactive support into proactive success at Webflow. This case study highlights the design and development of an API-driven "Magic Link" infrastructure designed to solve high-friction bottlenecks in sensitive account workflows.
By bridging the gap between security requirements and user experience, I focused on architecting a solution projected to reduce MTTR (Mean Time to Resolution) by ~20%. This framework was built to "unburden" the team from manual triage loops, enabling a strategic shift toward high-value technical troubleshooting.
~20%
Projected MTTR reduction
0
Manual triage steps once automation triggers
API
Auto-updates ticket status to "Verified"
Architectural Flow — Magic Link Pipeline
✉️
Input
Customer submits unverified billing inquiry via email
Email Ticket
⚙️
Automation Trigger
Zendesk webhook triggers automated "Verification Required" email
Zendesk Webhook
🔗
User Action
Customer clicks unique, time-sensitive Magic Link to authenticate account ownership
Magic Link
🛡️
Resolution
Zendesk API auto-updates ticket to "Verified", bypassing manual triage
API Update
Operational Impact
Eliminated manual identity triage loops for billing inquiries
~20% projected reduction in Mean Time to Resolution (MTTR)
Enabled agents to shift focus to high-value technical troubleshooting
Zero manual touchpoints required once the verification flow triggers
Owned complex subscription and Stripe billing escalations where precision directly impacted retention and revenue integrity.
Tools & Systems: Stripe, Zendesk, Jira, Asana, Slack, Glean, AI-assisted support workflows.
Switch to Deep view to see the full architectural flow and pipeline breakdown.
Context: Maintaining ~18–21 daily ticket resolutions across billing, platform issues, and escalations while leading this initiative.