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
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
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
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
5
Q
Which three methods did we discuss for the financial project valuation under risk?
A
- Sensitivity Analysis
- Scenarios
- Monte Carlo Simulation
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
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
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