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Insights on team efficiency, management, and AI tools.

Customer Health Score Design: 4 Tradeoffs That Make or Break It
6/14/2026

Customer Health Score Design: 4 Tradeoffs That Make or Break It

Most SMB customer health scores get built once, ignored within a quarter, and rebuilt 18 months later. The 4 design tradeoffs that decide whether your score lives or dies.

5 Expansion Triggers AI Can Watch in Customer Accounts
6/14/2026

5 Expansion Triggers AI Can Watch in Customer Accounts

Most SMBs spot expansion 90 days late, after the customer asks. Five behavioral triggers AI can watch on autopilot — and the CSM action each one should fire.

The CS 1-on-1 Template That Catches Churn Risks 30 Days Early
6/13/2026

The CS 1-on-1 Template That Catches Churn Risks 30 Days Early

Most CS 1-on-1s become status reports. A 4-question template — same questions every account, every week — surfaces the drift that turns into churn 30 days before the dashboard flags it.

Cross-Functional AI Meeting Prep: Same Context for Everyone
6/13/2026

Cross-Functional AI Meeting Prep: Same Context for Everyone

When 6 people walk into a cross-functional meeting with 6 different context maps, the first 15 minutes get wasted on alignment. An AI-drafted pre-read from project tracker + comms thread that fixes it.

Contract Review with AI: a 3-Tier Triage Process for SMBs
6/13/2026

Contract Review with AI: a 3-Tier Triage Process for SMBs

Most SMBs without in-house counsel either over-lawyer every contract or rubber-stamp them all. A 3-tier triage process — AI alone, AI plus ops review, lawyer — that keeps accountability clear and legal spend sane.

Comp Benchmarking With AI: 5-Source Method for SMBs
6/13/2026

Comp Benchmarking With AI: 5-Source Method for SMBs

Most SMBs without a People-Ops hire benchmark comp from one source and get burned. A 5-source AI-blended method — Levels, Pave, Carta, Radford, raw scrape — and how to read the spread.

Code Review Fatigue: How AI Assists Without Replacing the Reviewer
6/13/2026

Code Review Fatigue: How AI Assists Without Replacing the Reviewer

Senior engineers are burning out on code review while AI bots produce more noise than help. The right split: AI takes the first pass on the mechanical layer; humans keep the design and intent layer. Here's the boundary that works.

Churn Prediction Without a Data Team: A 4-Step Weekly Model
6/12/2026

Churn Prediction Without a Data Team: A 4-Step Weekly Model

Most SMBs can't hire a data scientist to predict churn — and they don't need to. A 4-step behavioral model a Head of CS can run weekly on a spreadsheet, with AI doing the pattern work.

Brand Voice Audit: AI Checks Drift Across 8 Channels
6/12/2026

Brand Voice Audit: AI Checks Drift Across 8 Channels

Website, docs, sales decks, outbound, social, support, blog, event copy — eight channels where brand voice silently drifts. A founder-voice rubric and AI audit method that catches it before customers do.

Board pre-read vs meeting deck: what AI helps with on each
6/12/2026

Board pre-read vs meeting deck: what AI helps with on each

The pre-read and the deck are two different documents doing two different jobs. AI helps with both, but in opposite directions — pre-read needs density, deck needs focus. How to use each well.

Attribution Modeling for the SMB Stack: An AI-Assisted Approach
6/12/2026

Attribution Modeling for the SMB Stack: An AI-Assisted Approach

Most SMBs can't afford a full MTA setup but still need to know which channels work. A pragmatic approach using Google + Meta + LinkedIn + email + website data, with AI filling the gaps a single-touch model can't see.

Anomaly Detection for SMB Metrics Without Hiring a Data Team
6/12/2026

Anomaly Detection for SMB Metrics Without Hiring a Data Team

You don't need a data scientist to catch the days your metrics quietly break. A pragmatic 3-rule baseline plus AI as second-eye for the judgement calls — and a Slack alert flow that doesn't cry wolf.

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