How to build a privacy-first customer identity layer for omnichannel support that preserves context without inflating data risk

I’m often asked how teams can reliably route conversations and preserve context across channels without hoarding personal data. After ten years working with support stacks and analytics, I’ve built and audited several identity approaches that strike a balance between usability and risk. In this...

How to build a privacy-first customer identity layer for omnichannel support that preserves context without inflating data risk
Feb 13, 2026 • by Claire Moreau

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How to map a 30-day chatbot-to-human handoff that prevents escalations and preserves csat

How to map a 30-day chatbot-to-human handoff that prevents escalations and preserves csat

I want to share a practical framework I use when designing a 30-day chatbot-to-human handoff plan that both reduces escalations and protects customer satisfaction (CSAT). I’ve seen teams rush handoffs — either dumping complex queries on agents too early, or keeping customers stuck in bot loops too long — and both scenarios damage trust. This guide walks through the principles, the...

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Exact data schema to collect across channels to attribute deflection lift to knowledge base updates

Exact data schema to collect across channels to attribute deflection lift to knowledge base updates

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Step-by-step guide to build a 3-tier proactive outreach workflow that cuts reopen rates

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real-world template to calculate the lifetime value impact of improving first response time by X%

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I want to walk you through a real-world template I use when I need to quantify how improving first response time (FRT) — by any given percentage — will affect customer lifetime value (LTV). This is the kind of modelling that turns CX initiatives from "nice to have" into board-level priorities. I’ll share the assumptions I typically make, the step-by-step calculation, and a ready-to-use...

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stepwise guide to implement sentiment analysis in your ticketing system and act on the results

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When I first started experimenting with sentiment analysis in a ticketing system, I expected a quick win: drop in manual triage, faster escalations, happier customers. What I found was more nuanced and, ultimately, more valuable. Sentiment isn't a magic wand — it's a signal. Done well, it helps your team prioritize, improve coaching, and spot trends before they become crises. Done poorly, it...

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how to run a vendor trial for an AI assistant: objectives, scoring rubric and red flags to watch

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Running a vendor trial for an AI assistant is one of those projects that looks deceptively straightforward until you’re three vendors in and your inbox is full of demo recordings, feature matrices, and slippery promises about “human-like” understanding. I’ve run more than a few trials like this, and the difference between a trial that leads to a successful deployment and one that wastes...

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how to run a quarterly CX retrospective that surfaces actionable experiments, not just complaints

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practical framework for deciding when to automate vs when to route to a human in customer journeys

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how to reorganize your team around customer outcomes instead of channels in four practical steps

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a compact guide to choosing the right escalation workflow when you support regulated industries

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