Quality Control & Process Improvement Flashcards
7 cards from real B2B practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 7 Quality Control & Process Improvement flashcards as text
In B2B marketing, which Six Sigma metric measures the number of defects per million opportunities (DPMO)?
Answer: DPMO
DPMO (Defects Per Million Opportunities) is the standard Six Sigma metric for quantifying defect rates in a process.
A B2B marketing team wants to reduce campaign approval cycle time. Which lean tool maps the current state of the workflow to identify waste?
Answer: Value stream mapping
Value stream mapping visually documents each step of a process, making waste (delays, rework, redundant approvals) easy to spot and eliminate.
Which quality principle states that 80% of problems typically stem from 20% of causes?
Answer: Pareto principle
The Pareto principle (80/20 rule) guides teams to prioritize the vital few causes that drive the majority of quality problems.
In a B2B lead qualification process, a control chart shows a data point beyond the upper control limit. What does this indicate?
Answer: Special cause variation requiring investigation
A point beyond the control limits signals special cause variation — an unusual event that warrants investigation rather than routine adjustment.
Which DMAIC phase focuses on identifying the root causes of a B2B marketing quality problem?
Answer: Analyze
The Analyze phase uses tools like fishbone diagrams and regression analysis to identify root causes before solutions are designed.
A B2B company implements mistake-proofing in its CRM data entry process to prevent duplicate records. This technique is known as:
Answer: Poka-yoke
Poka-yoke refers to error-proofing mechanisms that prevent mistakes from occurring or make them immediately obvious when they do.
When measuring B2B content marketing process quality, which metric best reflects process stability over time?
Answer: Standard deviation of cycle times
Standard deviation of cycle times reveals how consistently a process performs, with lower deviation indicating greater stability and predictability.