Growth Equation Challenge

Renewal Base Problem

Quoted renewals are performing, but a large group of expiring policies never entered the active renewal workflow because of non-renewable status, manual-review holds, or missing exposure data.

  • Broken variable: Renewal Base / Renewal Inventory
  • Broken variable: Bind Ratio
  • Broken variable: Avg Renewal Premium

Operating move: Reconcile expiring policies to active renewal inventory; split true non-renewals, data defects, manual-review holds, and workflow suppressions.

Retention Problem

Renewal base is strong and rate is on plan, but premium is leaking from accounts that should have renewed.

  • Broken variable: Submissions
  • Broken variable: Retention
  • Broken variable: Quote Ratio

Operating move: Segment non-renewals by reason, producer, geography, class, and rate action; then intervene where lifetime value supports retention.

Quote Ratio Problem

Submissions are up, but quote count is not moving. The pipeline exists, but the organization is not converting submissions into priced opportunities.

  • Broken variable: Renewal Base / Renewal Inventory
  • Broken variable: Quote Ratio
  • Broken variable: Avg New Business Premium

Operating move: Tighten appetite clarity, triage submissions faster, and remove friction from quote production.

Bind Ratio Problem

Quotes are up and pricing is disciplined, but brokers are not binding. The issue is downstream from quoting.

  • Broken variable: Submissions
  • Broken variable: Avg Renewal Premium
  • Broken variable: Bind Ratio

Operating move: Diagnose broker feedback, competitiveness, turnaround time, terms, and follow-up behavior.

Average New Business Premium Problem

Submission, quote, and bind activity look healthy, but the premium dollars are not enough. The average bound account is smaller than expected.

  • Broken variable: Avg New Business Premium
  • Broken variable: Retention
  • Broken variable: Quote Ratio

Operating move: Check mix, minimum premium discipline, target account size, limits, attachments, and class/geography strategy.

Future Game Template

Scenario Title

Add the scenario here.

  • Correct Answer
  • Wrong Answer
  • Wrong Answer

Add the operating move here.

Ategrity Game Lab

Growth Equation Challenge

A strategy game about diagnosing premium growth like an operator, not guessing like a spectator.
The equation:
Renewal Base × Retention × Avg Renewal Premium
+ Submissions × Quote Ratio × Bind Ratio × Avg New Business Premium
📈
Mission Brief

You own the premium plan.

The quarter is off pace. Your job is to diagnose the growth equation, identify the broken variable, and choose the right operating move.

This is not about vibes. It is not about saying “the market is competitive.” It is about knowing which lever is underperforming and what action changes the outcome.
“Growth is not magic. Growth is math, behavior, and execution.”
🎓
How To Play

Read the equation like an operator.

Each scenario gives you operating facts. Your job is to identify which growth variable is broken.

Then choose the move that actually changes the math.
  • Do not diagnose with adjectives.
  • Do not blame the whole market.
  • Find the variable.
  • Choose the operating response.
Scoring:

✅ Correct answer = 1 point
🏆 Perfect score unlocks celebration mode
📊
Scenario 1

The Renewal Inventory Problem

At the premium meeting, the team says, “renewals feel fine.” Retention on quoted renewals is close to plan, and rate change is positive. But the quarter still starts light.

When you pull the renewal file, you find a large group of prior-year policies never made it into the active renewal workflow: some were marked non-renewable, some were moved to manual review, and some were suppressed because of missing exposure data.
Quoted RenewalsPerforming
Rate ChangePositive
Unworked PoliciesElevated
Renewal PipelineIncomplete
What is the best diagnosis?
Retention is weak because quoted accounts are not staying. Renewal base is understated because policies are not entering the renewal process. Average renewal premium is weak because rate is inadequate.
✅
🧮
Operator Move: Reconcile expiring policies to active renewal inventory. Break out true non-renewals, data defects, manual-review holds, and workflow suppressions. The fix is to restore the renewal base before measuring retention.
⚠️
🧲
Scenario 2

The Retention Quality Problem

The renewal inventory is complete and rate is in line with plan. The headline retention percentage looks acceptable. But premium is still leaking.

A closer cut shows that small accounts are renewing, while several larger accounts are being lost after terms are released. The team is calling this “normal churn,” but the lost premium is concentrated in a few high-value cohorts.
Policy RetentionAcceptable
Premium RetentionWeak
Rate ChangeOn plan
Lost AccountsLarger than average
What is the best diagnosis?
Submissions are too low. Retention is weak on premium-weighted, high-value renewal accounts. Quote ratio is too low.
✅
🔎
Operator Move: Split retention by premium tier, class, producer, geography, rate action, and reason code. Then decide where lifetime value supports a targeted save.
⚠️
📥
Scenario 3

The Submission Quality Problem

Submission volume is up sharply, and the team is using that fact to argue the plan is healthy. But underwriters are spending more time clearing, declining, or waiting for missing information.

Quotes are not rising at the same pace. The submission increase is real, but much of it is outside appetite, incomplete, duplicated, or too small to move the premium plan.
SubmissionsUp
Quote CountFlat
Declines / No-QuotesElevated
Submission QualityMixed
What is the best diagnosis?
The renewal base is too small. Quote ratio is weak because submitted flow is not converting into quoteable opportunities. Average new business premium is the only issue.
✅
⚙️
Operator Move: Cut submissions into quoteable versus non-quoteable flow. Tighten appetite signaling, submission intake, required data, and fast-decline rules so underwriter capacity moves to real opportunities.
⚠️
🤝
Scenario 4

The Competitiveness and Follow-Up Problem

Quote production is finally on pace. The team feels good because underwriters are getting terms out. But premium is not following.

Broker feedback shows several quotes were close but not bound. Some were late relative to competitors, some had terms that needed explanation, and some never received structured follow-up after release.
QuotesOn plan
Broker FeedbackClose but lost
Follow-UpInconsistent
Bound PremiumBelow plan
What is the best diagnosis?
Submissions are too low. Renewal rate is inadequate. Bind ratio is weak because quoted opportunities are not converting into bound accounts.
✅
📞
Operator Move: Track quote aging, broker feedback, price-to-market, subjectivities, response time, and follow-up cadence. Then isolate whether the gap is competitiveness, communication, or execution.
⚠️
💵
Final Scenario

The Mix and Account Size Problem

Activity looks healthy: submissions, quote ratio, and bind ratio are all near plan. The team is celebrating the number of wins.

But when Finance rolls the premium, the dollars are short. The bound accounts skew smaller than expected, several larger opportunities were declined or lost, and minimum premium discipline varied by underwriter.
ActivityHealthy
Win CountOn plan
Average Bound PremiumBelow plan
MixSmaller accounts
What is the best diagnosis?
Average new business premium is weak because the bound mix is too small. Retention is weak because renewals are leaving. Quote ratio is weak because submissions are not being quoted.
🏆
Final Lesson:

Premium growth is not one number. It is a chain of variables. Operators do not guess where the miss is. They find the broken link and change the behavior that changes the math.
Your Score
0 / 5
Growth Results
Description
🏁
Leadership is contextual. Growth is mathematical. The operating discipline is knowing which variable is broken and what action changes it.
Your Score
0 / 5
Growth Results
Description
Ategrity Game Lab · Growth is math, behavior, and execution.