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

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 table example so you can plug in your own numbers.Why tie first response time to LTV?In my experience,...

Read more...

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

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

02/12/2025

When I first started experimenting with sentiment analysis in a ticketing system, I expected a quick win: drop in manual triage, faster escalations,...

Read more...
stepwise guide to implement sentiment analysis in your ticketing system and act on the results
Automation & AI

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

02/12/2025

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...

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

Latest News from Customer Carenumber Co

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

I run quarterly CX retrospectives because monthly fire-fighting and weekly stand-ups rarely create the space to learn deliberately. Over the years I’ve seen retros devolve into complaint sessions — a room where every pain point is aired but nothing changes. In this post I’ll share a reproducible template I use at Customer Carenumber Co (https://www.customer-carenumber.co.uk) to run a quarterly retrospective that consistently surfaces...

Read more...

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

When teams ask me whether they should automate a touchpoint or send a customer to a human, I always push back: the right choice isn’t binary. It’s a sequence of decisions guided by risk, value, frequency, and the customer’s context. Over the past decade I’ve seen the best outcomes come from a practical framework that combines data, customer empathy, and fast experiments. Below I share a framework I use at Customer Carenumber Co to decide...

Read more...

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

When I started helping support teams shift from channel-based organisation to outcome-focused squads, I expected resistance — but what surprised me most was how often teams hadn’t even agreed on the outcomes they were trying to deliver. Channels are easy to see: you can count phone lines, chat sessions, and inboxes. Outcomes are messier because they require judgement, measurement, and cross-functional collaboration. That messiness is where...

Read more...

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

Supporting regulated industries — healthcare, finance, telecoms, utilities, and similar — forces you to be precise about escalation workflows. I’ve built and reviewed workflows for teams operating under strict SLAs, audit trails, and privacy constraints, and I still lean on a handful of practical rules whenever I design or evaluate an escalation path. This compact guide walks through what to consider, the trade-offs to balance, and a...

Read more...

how to draft a cross-functional incident runbook that keeps customers informed and reduces escalations

I’ve spent more than a decade helping support teams design processes that keep customers calm and teams focused during incidents. One of the most reliable levers I’ve found is a well-drafted cross-functional incident runbook: a living document that defines who does what, when, and how we talk to customers. Done right, it reduces escalations, shortens resolution times, and — importantly — preserves trust by keeping customers informed with...

Read more...

the minimal data collection plan that lets you demonstrate ROI from self-service articles

When I help teams prove the value of self-service content, the most common problem I see is an appetite for perfect measurement that never turns into action. Teams design complex tracking schemas, wait for months of noisy data, then decide measurement is "too hard" and revert to opinion-based decisions.I've learned to flip that script: start with a minimal data collection plan that answers the core question stakeholders actually care about —...

Read more...

how to design an onboarding support journey that increases trial-to-paid conversion by focusing on signals

When I work with product and support teams on onboarding, I stop thinking about "onboarding" as a single linear process and start thinking about a conversation made of signals. Every click, message, error, and delay is a signal that tells you whether a trial user is moving toward activation — or toward churn. Designing an onboarding support journey around these signals is the fastest, highest-leverage way I've found to lift trial-to-paid...

Read more...

how to build a one-week experiment to compare intercom flows vs current conversations

I often get asked how to run fast, low-risk experiments that actually tell you whether a new automation or conversational flow is worth rolling out. Recently I needed to compare Intercom’s outbound flow/series approach with our existing live conversation model — and instead of a vague pilot, I designed a one-week experiment that gave clear, actionable results. Below I share the exact approach I used, the decisions to make up front, and the...

Read more...

what to measure to prove your chatbot is actually improving customer satisfaction

I run a lot of experiments with chatbots and conversational automation, and one question keeps coming up: how do we prove the bot is actually improving customer satisfaction? It’s tempting to point to a single CSAT score and call it a day, but in practice you need a mix of quantitative and qualitative signals to build a convincing story. Below I share the set of metrics I always track, why each matters, how to measure them cleanly, and a few...

Read more...

the exact metrics to include in a leadership dashboard to get budget for a new support platform

When I’ve been in the room asking for budget for a new support platform, the difference between "we need better tooling" and "we deserve investment" always came down to one thing: the dashboard. Leaders don't buy feelings — they respond to clear, measurable impact. Here’s the exact set of metrics I put on a leadership dashboard to win budget conversations for a new support platform, how I explain each metric’s business relevance, and...

Read more...