Insurance Product Launch Decision Tree | Vose Software

ModelChoice decision tree · Insurance

Insurance Product Launch

Launch cyber insurance nationwide, in three states, through an MGA partner, or not at all?

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From the model’s decision tree

Best first decision: Limited Launch (3 States)

The expected value of each first option when every later decision is also made well (the tree rolled back).

First decisionExpected value
Full Launch Nationwide−$7,812,500
Limited Launch (3 States)$3,205,000✔ best
MGA Partnership$2,920,000
Don't Launch$0
MeasureValue
Expected value of the best strategy$3,205,000
Chance of a loss on the best strategy46.8%
Best outcome on the best strategy$24,000,000
Worst outcome on the best strategy−$11,000,000
The best strategy: chance of each outcome or less

The decision

A mid-size property & casualty insurer is evaluating whether to enter the rapidly growing cyber insurance market. Cyber premiums have doubled in 3 years but loss experience is volatile and a single catastrophic ransomware or data breach event could wipe out years of underwriting profit.

Objective

Maximize expected 5-year underwriting profit net of startup costs. Key uncertainties include loss ratio experience, regulatory approval timelines, market penetration rates, and the risk of catastrophic cyber events.

The options

Option 1: Full Launch Nationwide ($20M)

Build an in-house cyber underwriting team, file forms in all 50 states, and deploy $20M in startup costs (staff, systems, marketing). Highest upside but maximum exposure to adverse loss ratios and catastrophic events.

Option 2: Limited Launch in 3 States ($6M)

Pilot the product in 3 target states to build loss data and underwriting expertise. If results are strong, a subsequent decision to expand nationwide or stay regional follows.

Option 3: MGA Partnership ($2M)

Partner with a Managing General Agent that already has cyber expertise. Lower investment but share profits and cede underwriting control.

Option 4: Don't Launch

Pass on the cyber market. No investment, no risk, no upside.

The decision tree

The tree has 3 decisions, 12 chance events and 25 outcomes. The best path is open: at every decision the best choice is marked, and the expected value beside each branch counts every cash flow from the start. Open any other branch to see what follows it.

DecisionChance event+$ cash flow on the branch

Decision: Cyber Insurance Launch
  • Full Launch Nationwide −$20,000,000expected −$7,812,500
    Chance: Loss Ratio Experience
    • 25% Favorable (<55%)expected $32,500,000
      Chance: Catastrophic Cyber Event?
      • 75% No Major Event +$80,000,000payoff $60,000,000
      • 25% Catastrophic Event −$30,000,000payoff −$50,000,000
    • 45% Expected (55-75%)expected −$6,250,000
      Chance: Catastrophic Cyber Event?
      • 75% No Major Event +$35,000,000payoff $15,000,000
      • 25% Catastrophic Event −$50,000,000payoff −$70,000,000
    • 30% Adverse (>75%)expected −$43,750,000
      Chance: Catastrophic Cyber Event?
      • 75% No Major Event −$15,000,000payoff −$35,000,000
      • 25% Catastrophic Event −$50,000,000payoff −$70,000,000
  • Limited Launch (3 States) −$6,000,000expected $3,205,000 ✔ best
    Chance: Regulatory Approval
    • 55% All 3 States Approvedexpected $8,800,000
      Chance: Market Penetration (3 States)
      • 35% Strong Penetrationexpected $24,000,000
        Decision: Expand After Strong Results?
        • Expand Nationwide −$14,000,000expected $22,500,000
          Chance: Cat Event During Expansion?
          • 75% No Major Event +$65,000,000payoff $45,000,000
          • 25% Catastrophic Event −$25,000,000payoff −$45,000,000
        • Stay Regional +$30,000,000payoff $24,000,000 ✔ best
      • 40% Moderate Penetrationexpected $6,000,000
        Decision: Expand After Moderate Results?
        • Expand Nationwide −$14,000,000expected −$6,250,000
          Chance: Cat Event During Expansion?
          • 75% No Major Event +$30,000,000payoff $10,000,000
          • 25% Catastrophic Event −$35,000,000payoff −$55,000,000
        • Stay Regional +$12,000,000payoff $6,000,000 ✔ best
      • 25% Weak Penetration −$2,000,000payoff −$8,000,000
    • 30% Partial Approval (1-2)expected $50,000
      Chance: Market Penetration (Partial)
      • 40% Good Results +$15,000,000payoff $9,000,000
      • 35% Mediocre Results +$3,000,000payoff −$3,000,000
      • 25% Poor Results −$4,000,000payoff −$10,000,000
    • 15% Major Delays / Denied −$5,000,000payoff −$11,000,000
  • MGA Partnership −$2,000,000expected $2,920,000
    Chance: MGA Performance
    • 25% MGA Exceeds Targetsexpected $13,000,000
      Chance: Loss Ratio (Strong MGA)
      • 40% Favorable Losses +$25,000,000payoff $23,000,000
      • 40% Expected Losses +$14,000,000payoff $12,000,000
      • 20% Adverse Losses −$3,000,000payoff −$5,000,000
    • 45% MGA Meets Targetsexpected $2,600,000
      Chance: Loss Ratio (Meets MGA)
      • 30% Favorable Losses +$12,000,000payoff $10,000,000
      • 45% Expected Losses +$5,000,000payoff $3,000,000
      • 25% Adverse Losses −$5,000,000payoff −$7,000,000
    • 30% MGA Underperforms −$3,000,000payoff −$5,000,000
  • Don't Launchpayoff $0

Change the numbers. Open the workbook with ModelChoice, change a probability or a cost in the tree, and the best decision updates at once.

Key assumptions

AssumptionValueNotes
Full Launch Investment$20,000,000Staff, systems, regulatory filings
Limited Launch Investment$6,000,0003-state pilot program
MGA Partnership Cost$2,000,000Integration and oversight
Favorable Loss Ratio<55%25% probability (full launch)
Expected Loss Ratio55-75%45% probability (full launch)
Adverse Loss Ratio>75%30% probability (full launch)
Catastrophic Event Prob.25%Major ransomware/breach event in 5 years
Expansion Cost$14,000,000Nationwide rollout after pilot success
Max Upside (Full Launch)$80,000,000Favorable loss + no catastrophe
Max Downside (Full Launch)−$50,000,000Adverse loss + catastrophic event

The figures are illustrative: the companies and numbers are invented for teaching.

Try it in ModelChoice

  • Strategy Table. Compare full launch vs limited vs MGA partnership
  • Sensitivity Analysis. Impact of loss ratio and catastrophe probability on EV
  • Risk Profile. Tail risk from catastrophic cyber events

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Further reading