Which statement describes the cadence principles?

Which statement describes the cadence principles?

• A. Limit the accumulation of variance; provide sufficient capacity margin; make waiting times predictable; enable small batch; use frequent meetings
• B. Increase variance to speed up delivery
• C. Make waiting times unpredictable
• D. Centralize planning only

Answer: (A)

Cadence principles focus on creating a regular, predictable rhythm across teams and ARTs so work flows smoothly, feedback is timely, and risk is managed. This rhythm helps limit variability in delivery, making capacity planning more accurate and allowing the system to absorb disturbances without derailing progress. Including capacity margin provides a buffer to handle unexpected work or problems, which keeps commitments from slipping. Making waiting times predictable is key because when items sit in queues or delays pile up, flow breaks down; a steady cadence keeps queues short and throughput steady. Enabling small batches supports rapid learning and lower risk, as smaller increments are easier to test, adjust, and integrate. Frequent meetings and synchronization events maintain alignment, fast problem resolution, and ongoing improvement within the established rhythm. The other options pull in the opposite direction—adding variance, making wait times unpredictable, or focusing only on centralized planning—so they don’t support the steady, collaborative flow that cadence aims to achieve.

Cadence principles focus on creating a regular, predictable rhythm across teams and ARTs so work flows smoothly, feedback is timely, and risk is managed. This rhythm helps limit variability in delivery, making capacity planning more accurate and allowing the system to absorb disturbances without derailing progress. Including capacity margin provides a buffer to handle unexpected work or problems, which keeps commitments from slipping. Making waiting times predictable is key because when items sit in queues or delays pile up, flow breaks down; a steady cadence keeps queues short and throughput steady. Enabling small batches supports rapid learning and lower risk, as smaller increments are easier to test, adjust, and integrate. Frequent meetings and synchronization events maintain alignment, fast problem resolution, and ongoing improvement within the established rhythm. The other options pull in the opposite direction—adding variance, making wait times unpredictable, or focusing only on centralized planning—so they don’t support the steady, collaborative flow that cadence aims to achieve.