Why Agile Development’s Real Goal Is Faster Value Delivery – A Deep Dive
This article explains how agile development aims to accelerate value delivery and improve learning by contrasting waterfall’s batch approach with iterative delivery, introducing the anti‑Moore law, defining agile’s core objectives, and presenting a five‑group metric system to measure continuous delivery capability.
Agile Development Business Goals
Agile development’s essential goal is to build the ability to deliver continuous value, which ultimately serves business innovation and success.
Traditional waterfall splits work into sequential phases (requirements, design, development, testing) and processes them in large batches, causing delayed value delivery.
The batch approach suffers from the "anti‑Moore law": the later the value is delivered, the lower its worth, mirroring Moore’s observation that hardware value halves every 18 months if not improved.
For software and internet services, delayed delivery can mean missing market windows entirely.
Agile’s Two Business Objectives
1. Faster value delivery – not speed for its own sake, but delivering earlier. 2. Effective learning and flexible response – continuously acquire feedback and adapt.
Definition of Agile
Agile is the capability of an organization to deliver value earlier and to learn and adapt effectively.
Metric System for Continuous Delivery Capability
Based on Peter Drucker’s principle, "If you can’t measure it, you can’t improve it," five groups of metrics are proposed:
Release Capability : release frequency and lead time from code commit to production.
Demand Response Cycle : overall delivery cycle (from demand confirmation to release) and development cycle (from team understanding to release).
Delivery Throughput : number of demands delivered per unit time.
Built‑in Quality : defect creation/fix time distribution and defect inventory.
External Delivery Quality : number of production incidents per unit time and average incident resolution time.
These metrics together tell the story of a team’s response ability, efficiency, and quality.
Key Charts Illustrating the Metrics
The cumulative flow diagram shows the number of demands in each stage over time, revealing average delivery time, work‑in‑process quantity, and arrival/delivery rates.
Average delivery time is calculated by comparing the cumulative demand count at two dates (e.g., 40 demands planned on March 26 and 40 delivered on May 15 → 50 days).
Work‑in‑process (WIP) is the difference between started and completed demands, indicating how many items are in progress.
Arrival and delivery rates measure how many demands enter and leave the system per unit time.
The defect trend chart visualizes defect introduction, discovery, and removal over time, highlighting the importance of early detection and inventory control to maintain a near‑release‑ready state.
Iterative delivery reduces defect inventory and shortens cycles, whereas batch‑oriented "small waterfall" leads to defect spikes and delayed releases.
Conclusion
By measuring the five metric groups—release capability, demand response, throughput, built‑in quality, and external quality—organizations can assess their continuous delivery capability, identify gaps, and drive improvement.
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