3 Scoping Flashcards

1
Q

Which measures are important for companies? And how is it connected with performance based salaries?

A
  • important measures:
    • financial measures, productivity, customer satisfaction, employee relations, innovation, process quality
  • Performance based salaries:
    • financial measures & productivity quite popular
    • almost no incentives for innovation
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2
Q

Having performed the idea screen - what is the challenge now?

A
  • challenge: get down the bulk of ideas/ projects to a feasible number
    • qualitative and financial evaluation
  • challenges:
    • risk balancing
    • projects should fail as fast possible in order to save resources for the other projects, but PM often want to finish their projects
    • => conflict of interest
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3
Q

What should supplement the quantitative financial valuation of projects?

A
  • financial valuation should be supplemented by a structured qualitative valuation in order to include factores reflected by the financial analysis
  • qualitative project evaluation is based on a clear set of variables in order to compare different projects
  • e.g. projects can be clustered in a return/ risk matrix
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4
Q

Which two basic financial KPI can be used for the financial evaluation without risk?

A
  • Net Cash Flow: during innovation phases increased costs, market phase is supposed to earn money back
  • NPV is the discounted NCF
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5
Q

Which three methods did we discuss for the financial project valuation under risk?

A
  • Sensitivity Analysis
  • Scenarios
  • Monte Carlo Simulation
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6
Q

How does the sensitivity analysis work? What is its output?

A
  • 1 input variable is changed while keeping the others unchanged
  • allows to identify the project’s value drivers
  • output:
    • tornado chart (variables ranked by financial impact)
    • sensitivity profe for each variable
    • critical values
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7
Q

How does the scenarios method work? What is its output?

A
  • several variables are changed simultaneously i.o. to assess different scenarios
  • output:
    • direct comparison of complex scenarios (regarding value and risk profiles)
    • maximum investment reasonable for reaching scenario conditions
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8
Q

How does the Monte Carlo Simulation work? What is its output?

A
  • uncertainty in input variables is evaluated using probability distributions instead of discrete probabilities
  • simulation picks random variables
  • high number of repetitions delivers a reliable risk profile
  • output:
    • risk profile
    • trend chart
    • overview of complete range of possible outcomes
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