Pharmaceutical Pipeline Decision Tree | Vose Software

ModelChoice decision tree · Pharma and biotech

Pharmaceutical Pipeline Decision

Develop drug A, drug B or both, out-license both, or keep the money?

  • Complexity: ★★★★★
  • Free Excel workbook
  • Needs ModelChoice: free trial

From the model’s decision tree

Best first decision: Develop Both (Parallel)

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

First decisionExpected value
Develop Drug A$407,802,000
Develop Drug B$94,502,000
Develop Both (Parallel)$776,711,250✔ best
Out-License Both$200,000,000
Do Nothing$0
MeasureValue
Expected value of the best strategy$776,711,250
Chance of a loss on the best strategy70.5%
Best outcome on the best strategy$3,535,000,000
Worst outcome on the best strategy−$140,000,000
The best strategy: chance of each outcome or less

The decision

A mid-size pharmaceutical company has two drug candidates in its pipeline. Both target different therapeutic areas but share the same clinical trial cost structure and regulatory pathway. Management must decide whether to:

  • Develop Drug A alone (oncology, blockbuster potential)
  • Develop Drug B alone (rare disease, moderate but steady revenue)
  • Develop both in parallel (diversification, higher upfront cost)
  • Out-license both candidates to a larger pharma company
  • Do nothing and preserve capital

How the inputs are linked

The MC_Tree_1 sheet has a parameter table above the decision tree. Phase I, II, and III costs and success rates are defined once in the control panel and referenced by multiple branches in the tree. Changing a single parameter instantly updates all linked tree values and recalculates expected values.

The inputs that drive several branches at once:

  • Phase I Cost — used by Drug A, Drug B, and Both paths
  • Phase II Cost — used after Phase I success in all paths
  • Success rates — same clinical success rates drive all branches
  • Regulatory filing cost — same FDA submission cost for both drugs

The decision tree

The tree has 3 decisions, 10 chance events and 19 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: Pipeline Strategy
  • Develop Drug A −$5,000,000expected $407,802,000
    Chance: Phase I Result (A)
    • 65% Phase I Success −$15,000,000expected $630,080,000
      Chance: Phase II Result (A)
      • 40% Phase II Success −$50,000,000expected $1,605,200,000
        Chance: Phase III Result (A)
        • 60% FDA Approved +$2,792,000,000payoff $2,722,000,000
        • 40% Phase III Failedpayoff −$70,000,000
      • 60% Phase II Failurepayoff −$20,000,000
    • 35% Phase I Failurepayoff −$5,000,000
  • Develop Drug B −$5,000,000expected $94,502,000
    Chance: Phase I Result (B)
    • 65% Phase I Success −$15,000,000expected $148,080,000
      Chance: Phase II Result (B)
      • 40% Phase II Success −$50,000,000expected $400,200,000
        Decision: Drug B Launch Decision
        • Full Phase III −$50,000,000expected $400,200,000 ✔ best
          Chance: Phase III Result (B)
          • 60% FDA Approved +$867,000,000payoff $747,000,000
          • 40% Phase III Failedpayoff −$120,000,000
        • License After Phase II +$100,000,000payoff $30,000,000
      • 60% Phase II Failurepayoff −$20,000,000
    • 35% Phase I Failurepayoff −$5,000,000
  • Develop Both (Parallel) −$10,000,000expected $776,711,250 ✔ best
    Chance: Portfolio Phase I Outcome
    • 42% Both Succeed Phase I −$30,000,000expected $1,144,500,000
      Decision: Both Passed Phase I
      • Continue Both to Phase II+III −$100,000,000expected $1,144,500,000 ✔ best
        Chance: Dual Phase II/III Outcome
        • 6% Both Approved +$3,675,000,000payoff $3,535,000,000
        • 38% One Approved +$2,800,000,000payoff $2,660,000,000
        • 56% Neither Approvedpayoff −$140,000,000
      • Pick Best, License Other −$50,000,000expected $682,000,000
        Chance: Best Candidate Phase II/III
        • 24% Approved +$2,900,000,000payoff $2,810,000,000
        • 76% Failed +$100,000,000payoff $10,000,000
    • 46% Only One Succeeds −$15,000,000expected $647,000,000
      Chance: Single Survivor Phase II/III
      • 24% Survivor Approved +$2,800,000,000payoff $2,775,000,000
      • 76% Survivor Failedpayoff −$25,000,000
    • 12% Both Fail Phase Ipayoff −$10,000,000
  • Out-License Both +$200,000,000payoff $200,000,000
  • Do Nothingpayoff $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
Phase I Cost (per candidate)$5,000,000Clinical trial Phase I cost
Phase II Cost (per candidate)$15,000,000Clinical trial Phase II cost
Phase III Cost (per candidate)$50,000,000Large-scale pivotal trial
Phase I Success Rate65.0%Probability of advancing to Phase II
Phase II Success Rate40.0%Probability of advancing to Phase III
Phase III Success Rate60.0%Probability of FDA approval
Peak Annual Revenue (Blockbuster)$800,000,000Best-case annual revenue
Peak Annual Revenue (Moderate)$250,000,000Moderate market uptake
Peak Annual Revenue (Niche)$80,000,000Small patient population
Licensing Deal Value$100,000,000Upfront + milestones if out-licensed
NPV Multiplier3.5Revenue-to-NPV conversion factor
Regulatory Filing Cost$8,000,000NDA/BLA filing and review costs

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

Try it in ModelChoice

  • Change Phase I Cost in the control panel. Watch all branches update
  • Increase Phase III Success Rate. See how it shifts the optimal strategy
  • Run Sensitivity Analysis. Tornado chart shows which parameters matter most
  • Run Strategy Table. Compare all strategies on the risk-return frontier

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Further reading