Project Manager Interview - Metrics Followed in Project Management

Aired Consulting 2/05/2011 No Comment
Project Manager Interview - Metrics Followed in Project Management,Manager Interview Questions on Metrics Followed in Project Management

What are the metrics followed in project management?
Twist: - What metrics will you look at in order to see the project is moving successfully?
Most metric sets deal with a variation of these attributes and are chosen to help project managers gain insight into their product (size, software quality, rework), process (rework, software quality) and project (effort, schedule).
But below is a broader classification :-
Project Management Metrics
Milestone metrics
Number of milestones
Number of proved requirements per milestone
Controlling level metrics
Risk metrics
Probability of resources availability
Probability of the requirements validity


risk indicators (long schedules, inadequate cost estimating, excessive paperwork, error-prone modules, canceled projects, excessive schedule pressure, low quality, cost overruns, creeping
user requirements, excessive time to market, unused or unusable software, unanticipated
acceptance criteria, hidden errors)

Application risk metrics
Workflow metrics
Walkthrough metrics
Traceability metrics
Variance metrics
Controlling metrics
Size of control elements
Structure of control elements
Documentation level
Tool application level
Management database metrics
Data quality metrics
Management data complexity
Data handling level (performance metrics)
Visualization level
Safety and security metrics

Quality Management Metrics
Customer satisfaction metrics
Characteristics size metrics
Characteristics structure metrics
Empirical evaluation metrics
Data presentation metrics
Review metrics
Number of reviews in the process
Review level metrics
Review dependence metrics
Review structure metrics
Review resources metrics
Productivity metrics
Actual vs. Planned metrics
Performance metrics
Productivity vs. Quality metrics
Efficiency metrics
Time behavior metrics
Resources behavior metrics
Actual vs. Planned metrics
Quality assurance metrics
Quality evaluation metrics
Error prevention metrics
Measurement level
Data analysis metrics
Configuration Management Metrics
Change control metrics
Size of change
Dependencies of changes
Change interval metrics
Revisions metrics
Version control metrics
Number of versions
Number of versions per customer
Version differences metrics
Releases metrics (version architecture)
Data handling level
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