Identifying and Overcoming Work Inertia in Agile Development Using Cumulative Flow Diagrams

When a new work mode is introduced, it is essential to focus on changing the existing work inertia, as highlighted by the opening quote.

Teams that are just starting with agile iterative development often exhibit a series of anti‑patterns caused by entrenched work habits, giving the illusion of "agile" without any substantive change.

The article describes a large‑scale project with over 40 dedicated developers split into four sub‑domain teams, each with a core group comprising roles such as Delivery Management, Product Management, Tech Lead, and Internal Project Management.

Key challenges include the project's massive scope, long estimated cycles, the need for full‑scale new development and system integration, and the fact that most team members have little or no prior agile experience, leading to inconsistent interpretations of agile practices.

A cumulative flow diagram (CFD) is presented as an effective tool for spotting these problems; the example CFD clearly shows excessive work‑in‑process (WIP) and a long lead time, indicating that the team is struggling with too many concurrent items and delayed delivery.

The diagram’s horizontal line represents lead time (the delivery cycle for a single requirement), while the vertical line represents WIP, the amount of work currently in progress.

Deeper root causes are identified: overloaded work estimates, blind confidence in team capabilities, adherence to traditional responsibilities (e.g., product owners avoiding quality acceptance, developers focusing only on coding, delivery leads assuming sub‑teams will handle testing), and a difficult‑to‑use test environment that hampers verification.

Practical solutions are proposed: (1) reduce the amount of development work scheduled per iteration; (2) schedule multiple quality‑acceptance checkpoints (e.g., Wednesdays and Fridays) involving product, delivery, and possibly developers; (3) detect and fix bugs early; (4) assign a dedicated person to automate test‑environment creation; and (5) introduce automated testing to avoid growing manual acceptance effort.

The conclusion stresses that without a strong emphasis on high‑quality requirements, “agile” practices devolve into waterfall‑like processes, pushing quality risk to later stages of the project.