Field notes on customer-experience operations. Written for the people who run onboarding, billing, and support, not just measure them.
Churn rate is the percentage of customers or revenue you lose in a period. Here is the formula, a worked calculation, the difference between customer churn and revenue churn, benchmarks by industry, and why multiplying your monthly rate by twelve gives you the wrong answer.
Customer service outsourcing means paying an external provider to handle some or all of your support. Here is what it costs in 2026, how to compare it honestly against the fully loaded cost of an in house agent, what to never outsource, and how to run a transition without wrecking your customer experience.
Net revenue retention measures the recurring revenue you keep from existing customers after expansion, downgrades, and churn. Here is the formula, a worked calculation, how NRR differs from gross revenue retention and customer retention rate, whether net dollar retention is the same thing, and what the published benchmarks really say.
A quarterly business review works when it reviews the customer results, not your roadmap. Here is a 90-minute QBR agenda, a ten-slide deck template, which accounts should get one and how often, three worked examples, and how to tell whether your QBRs are earning their cost.
A customer health score combines weighted signals into one number that predicts renewal risk. Here is the formula, which signals belong in the model and how to weight them, a full worked calculation, score bands with owners and playbooks, and the six reasons health scores fail.
Contract lifecycle management covers everything from the first request to the renewal date. Here are the seven stages, what contract lifecycle management software really automates, how CLM platforms are priced, who should own the system, and the five reasons rollouts stall.
Contact center automation is mostly sold as chatbots. The automations that actually pay back are quieter: callback instead of hold, after-call work, routing, and knowledge surfaced to the agent mid-call. Here is the stack, ten use cases ranked by payback, and what never to automate.
A customer advisory board gives a small group of strategic customers a structured voice in your roadmap and direction. Here is what a CAB does, who belongs in the room, a half-day agenda with owners and outputs, three worked examples, and why most advisory boards quietly die after the second meeting.
The contract management process is how a company requests, drafts, reviews, approves, signs, stores, and monitors a contract. Here are the eight steps with owners and turnaround targets, the flow chart decision points that actually control cycle time, a three tier risk triage model, an approval matrix worth enforcing, and how to measure the whole thing.
AI contract review software reads a contract, compares it to your playbook, and flags what deviates. Here is what it does well, where it fails, a twelve point contract review checklist, how long review really takes, how to model the cost honestly, how review tools differ from CLM platforms, and the demo tests that separate real products from demos.
A contract repository is a searchable store of executed contracts with structured metadata attached, not a folder of PDFs. Here is how it differs from a document management system, the ten fields worth capturing, how to tier a legacy migration so it finishes, why renewal alerts must fire against the notice deadline, and how to keep the data clean.
AI customer service covers five distinct layers, from a deflection bot on the help center to agent assist inside the ticket. Here is what each layer does, why the deflection rate vendors quote is not the resolution rate you should measure, where AI still fails, what the pricing models really cost, and the demo tests that expose a weak tool in twenty minutes.