How to measure the true ROI of a GPT-assisted agent workflow in seven days

I recently ran a seven-day sprint to measure the true ROI of a GPT-assisted agent workflow, and I want to share the exact approach I used so you can replicate it. When vendors promise “faster replies” and “higher CSAT” with large language models (LLMs), what they rarely provide is a simple,...

How to measure the true ROI of a GPT-assisted agent workflow in seven days
Jul 26, 2026 • by Claire Moreau

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Exact eight-field ticket schema to attribute deflection to knowledge updates across chat, email and phone

Exact eight-field ticket schema to attribute deflection to knowledge updates across chat, email and phone

When you update your knowledge base, how do you know whether that work actually reduced incoming contact volume — and which channels benefited? I’ve spent years helping support teams move from intuition to measurable outcomes, and one of the most reliable levers is tracking deflection attributed to knowledge updates. The challenge has always been practical: tickets are created across chat,...

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Three surgical edits to a knowledge article that lift deflection by 10% for enterprise SaaS

Three surgical edits to a knowledge article that lift deflection by 10% for enterprise SaaS

I often get asked: what single change will move the needle on self-service metrics fastest? In my experience with enterprise SaaS support teams, the answer rarely lives in a full redesign or a new platform module. It lives in precise, surgical edits to the knowledge base articles agents and customers already use. I want to walk you through three targeted edits I’ve used repeatedly to increase...

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Playbook to design a human fallback for chatbot failures that preserves compliance in regulated industries

Playbook to design a human fallback for chatbot failures that preserves compliance in regulated industries

When a chatbot fails in a regulated environment — finance, healthcare, telecoms — it’s not just an annoyance: it’s a potential compliance incident. I’ve seen automated assistants misroute sensitive queries, collect information they shouldn’t, or give incomplete answers that drive customers to escalate through unsafe channels. Designing a human fallback that both restores a great...

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How to build a three-metric early-warning system from chat transcripts that predicts escalations before customers reopen tickets

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How to run a seven-day vendor trial that isolates long-term training and hidden migration costs for zendesk vs intercom

How to run a seven-day vendor trial that isolates long-term training and hidden migration costs for zendesk vs intercom

I run a lot of vendor trials for support teams, and one lesson keeps resurfacing: a standard seven-day trial rarely reveals the full cost of switching platforms. Vendors make their modern UIs and canned automations look effortless, but the long-term expenses — training, migration complexity, custom workflows, and maintenance — are where budgets and timelines actually get spent. In this post...

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How to create a sprint-ready playbook to convert failed chatbot handoffs into measurable CSAT wins within two weeks

How to create a sprint-ready playbook to convert failed chatbot handoffs into measurable CSAT wins within two weeks

When a chatbot hands a conversation off to a human and the customer leaves frustrated, nobody wins. Yet failed handoffs are common — unclear context, long wait times, repeated questions, and agents who lack the right information. Over the past decade I've helped teams turn those moments from pain points into measurable CX wins. Here’s a sprint-ready playbook you can run in two weeks to...

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How to design a privacy-first proactive outreach sequence that increases self-service deflection without inflating identity risk

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Practical playbook to compress incident communications into a 60-second customer read while preserving transparency and trust

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Audit checklist to find the single knowledge article that will unlock an 8–12% deflection lift

Audit checklist to find the single knowledge article that will unlock an 8–12% deflection lift

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