Monitoring & Controlling Flashcards
1
Q
Monitoring & Controlling?
A
- Track, review, and regulate the progress and performance of the project
- Identify any areas in which changes to the plan are required.
- Initiate the corresponding changes.
2
Q
Tasks?
A
- Monitoring
- Collection of project performance data
- Determination of key performance indicators and forecasts
- Reporting and sharing performance information - Controlling
- Comparison of actual performance with planned performance
- Analysis of deviations
- Evaluation of possible alternatives
- Taking appropriate corrective action where necessary
3
Q
Control Measures
A
- Consequence analysis
- important tasks
- analyses deviations from the plan
- defines and plans appropriate control measures - Control measures
- Corrective measures: closing the gap between actual state and plan
- Plan modifications: adapting the plan to the actual state of the project - Always take into account the effect of the identified deviations on the project goals!
4
Q
Consequence Analysis
A
- important task
- analyses deviations from the plan
- defines and plan appropriate control measures
- Control measures:
- Corrective measures: closing the gap between actual state and plan
- Plan modifications: adapting the plan to the actual state of the project
5
Q
Milestone Trend Analysis
A
- Actual / plan comparison of all external milestones
- Illustration of the status of all milestones
- Recognizing trends and deviations from the planned schedule
6
Q
Milestone Trend Analysis - Benefits
A
- Deviations from the plan are easy to recognize
- A simple means to communicate the project status to customer and senior management
7
Q
Release Planning
A
Input:
- Size of product backlog
- Team Estimation Game
- Bucket Estimation
8
Q
Velocity
A
- Guessing
- Do a first sprint and count the story points
a) No sound basis, too less data
b) First sprint is often overestimated - Compare the team with existing ones
a) Take the velocity of the most similar one
9
Q
Future Directions - Lean Forecasting
A
Monte Carlo Simulation:
1. Forecast results of problems that canʼt be classified by a single exact value
2. Uses random sampling techniques
- Inputs are chosen randomly for a subset
- Results are analyzed over many computational cycles
3. A range of values is returned
- Forecasting the most probable result in that range of values