The Customer Success Café Newsletter

The Customer Success Café Newsletter

Stop Check-Ins. Start Renewal Control

Hakan Ozturk | The CS Café's avatar
Hakan Ozturk | The CS Café
Jan 27, 2026
∙ Paid

Most teams think engagement is effort

  • More check-ins.

  • More emails.

  • More “quick touchpoints.”

Then renewal season hits, and the account suddenly feels fragile.

That’s not bad luck. It’s a missing system.

Engagement is only useful if it produces three things:

  • early risk signals

  • a clear adoption path tied to outcomes

  • proof you can put in front of executives

If your post-sale motion doesn’t reliably create those, you don’t have an engagement motion. You just have activity.

This is the Engagement OS mindset: post-sale should run like an operating system. Not a set of gestures.

Here’s the model you can use today.


The Engagement OS in one sentence

A repeatable system that converts customer behavior and context into next actions that protect retention and create expansion.

It has four layers:

  1. Inputs: what you track

  2. Meaning: what it signals

  3. Actions: what you do next

  4. Evidence: what shows up in QBRs

Most teams only have layer 3. Random actions.

The OS works because it forces the other three to exist.


Layer 1: Standardize the inputs (or your health score is fiction)

If your inputs change by CSM, your health score is an opinion.

Standardize inputs into four buckets.

1. Outcome progress (exec-language metrics)

Track progress against the customer’s outcomes, not your feature clicks.

Examples:

  • cycle time reduced

  • tickets deflected

  • onboarding time shortened

  • errors reduced

  • revenue influenced

If it’s hard to quantify, define a proxy and document it.

2. Product signals (early warnings)

Pick a small set and keep it stable.

Examples:

  • active users in the core workflow

  • breadth of adoption across teams

  • drop-off after rollout

  • usage concentration in one power user

  • recurring support events tied to the same workflow

The goal isn’t perfect measurement. It’s consistent measurement.

3. Stakeholder signals (where churn actually starts)

Churn usually begins in org changes, not in product usage.

Standardize:

  • economic buyer

  • champion

  • day-to-day owner

  • blockers

  • “new leader reviewing vendors” signals

  • champion departure or role change

4. Commercial signals (the contract clock)

Standardize:

  • renewal date and notice period

  • procurement start window

  • usage limits and overages

  • expansion clauses or levers

If your engagement plan ignores the clock, you are not managing renewal. Procurement is.


Layer 2: Convert inputs into meaning (risk categories that trigger action)

Inputs don’t create urgency. Interpretation does.

Keep the meaning model simple with three risk categories:

A. Adoption risk

Symptoms:

  • usage down in the core workflow

  • rollout stuck in one team

  • pilot never became operational

Meaning: “They haven’t embedded the product into how work gets done.”

B. Value risk

Symptoms:

  • outcomes aren’t tracked

  • business case is fuzzy

  • the customer says they’re “happy” but can’t point to impact

Meaning: “They can’t defend renewal internally.”

C. Stakeholder risk

Symptoms:

  • champion goes quiet

  • sponsor disappears from meetings

  • reorg, new leader, new priorities

  • “we’re evaluating tools” language starts showing up

Meaning: “You’re losing narrative control.”

The key: define triggers, not vibes.

Examples:

  • sponsor absent for 60 days

  • champion changed

  • core workflow usage down 25% for 3 weeks

  • no measurable outcome agreed by day 30

  • expansion request appears without an owner

Triggers create action without debate.


Layer 3: Turn risk into a path (so engagement isn’t random)

Once you have risk categories, you need pre-built plays.

Not “send an email.”

Plays that create movement.

Here are four plays every Engagement OS should have.

Play 1: Value Moment Mapping

Goal: stop drifting and create proof.

You define:

  • top value moments the customer should experience

  • the signal that proves each moment happened

  • the proof artifact you can show later

This changes the game. Your team stops chasing “engagement” and starts producing value evidence.

Play 2: Stakeholder Drift Reset

Goal: prevent silent churn from org changes.

When drift shows up, you:

  • re-anchor success criteria in exec language

  • confirm who owns the outcome internally

  • restore sponsor visibility before procurement takes control

Play 3: Adoption Path Reset

Goal: rescue accounts that are “using it a bit.”

The winning move:

  1. narrow to one workflow tied to impact

  2. expand to adjacent teams only after proof appears

Most teams do the opposite, and die by complexity.

Play 4: Expansion Trigger Pack

Goal: make expansion feel like the next step, not a pitch.

When the customer hits an expansion trigger, you:

  • summarize impact achieved

  • show 2–3 “next outcomes” options

  • propose a timeline with dependencies

Expansion becomes continuation, not pressure.


Layer 4: Make it show up as QBR evidence (or it didn’t happen)

A QBR is not a presentation. It’s a renewal control tool.

Your Engagement OS should reliably produce four QBR building blocks:

1. Outcome scoreboard

  • 1–3 outcomes

  • baseline vs current vs target

  • what changed since last review

2. Adoption coverage

  • where the core workflow is adopted

  • which teams are missing

  • the blocker and the fix

3. Risk register

  • adoption/value/stakeholder risks

  • trigger fired, action taken, status

  • what decision you need from the customer

4. Next 90-day plan

  • three milestones

  • owners (customer + vendor)

  • proof artifact per milestone

When you standardize this, your QBR stops being updates and becomes a decision forum.


The cadence that makes it real

Weekly

  • which triggers fired

  • which play launched

  • which proof artifact was created

Monthly

  • top at-risk accounts by trigger count

  • time-to-value checkpoints

  • stakeholder drift inventory

Quarterly

  • outcome scoreboard ready

  • risk register current

  • 90-day plan confirmed

This is how engagement becomes a system.


Where this goes wrong (and how to fix it)

If you’ve tried something like this before and it didn’t stick, it’s usually one of these:

  1. Too many inputs

    Reduce to the few that drive decisions

  2. No trigger thresholds

    Define the line that forces action

  3. Plays are vague

    Pre-write steps, owners, timelines, artifacts

  4. QBR proof isn’t designed

    Decide the evidence format upfront

The OS isn’t magic. It’s discipline.


The point

Post-sale engagement isn’t a personality trait.

It’s a set of rules.

If you standardize inputs, define meaning, launch plays, and generate proof, renewals stop being surprises.

They become scheduled outcomes.


Paid members: Get the ready-to-deploy Engagement OS Kit inside, a multi-tab Excel workbook with 24 pre-built triggers, field definitions, reconnection scripts, QBR templates, and a real 90-Day Plan example. Copy-paste it into your CS motion this week.

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