KPI Focus: AHT, FCR, CSAT, SLA
The Situation
An online retailer came to us ahead of peak season with a familiar concern: “we can handle normal volume, but promotions and shipping spikes throw everything off.” During major campaigns, queues grew fast, response times slipped, and customer frustration followed.
What Wasn’t Working
A few issues kept repeating:
- WISMO and shipping-exception contacts piled up quickly.
- Return and refund handling differed too much by shift and team.
- Supervisors spent most of their time firefighting instead of coaching.
- Teams were working hard, but the process itself was adding friction.
What We Changed
We focused on practical controls the team could use immediately:
- Split queues by intent and urgency so the right work reached the right people faster.
- Standardized playbooks for order status, returns, exchanges, and failed delivery scenarios.
- Introduced intraday huddles to rebalance workload before backlogs became unmanageable.
- Targeted QA and coaching on the highest-volume interaction patterns.
What Happened
By the end of peak season, the operation was noticeably more stable.
- Order-status backlog dropped by 41%.
- Average handle time improved by 17%.
- CSAT increased by 11 points across chat and email.
The client kept the same framework after peak and extended it into additional channels.
A Real Moment From the Engagement
In week one of peak ramp, one supervisor called out that the team was spending more time explaining delays than resolving issues. That became the turning point for simplifying routing and response playbooks.
Before vs After (Operationally)
- Before: Agents handled similar shipping issues in different ways depending on shift.
- After: The team used one shared flow, so responses became faster and more consistent.
What Changed for the Team
Frontline agents reported fewer confusing handoffs, and leads spent more time coaching instead of manually re-sorting queues.
Constraints We Worked Within
- Limited time to redesign workflows without disrupting live service.
- Existing tools and reporting structures that could not be replaced immediately.
- Need to improve performance while maintaining day-to-day SLA commitments.
Tradeoffs We Made
- Prioritized highest-impact workflows first instead of trying to fix every queue at once.
- Chose repeatable process controls over one-off optimizations.
- Deferred lower-priority enhancements until baseline stability was proven.
If We Were Starting Again Today
We would still start with ownership clarity and a fast governance cadence, but we would add earlier frontline shadowing in the first two weeks to accelerate practical workflow adjustments.