Predictability and Quality - How Top Teams Deliver 35% More with 3x Fewer Bugs

Most engineering teams track delivery metrics. Few use them to actually improve performance.

In this session, we break down the final two pillars of Plandek’s productivity framework - Predictability and Quality - focusing on what these metrics measure, why they matter, and how leaders can use them to build consistent, high‑performing engineering teams.

What you’ll learn

• What Predictability really measures - and why it’s the hardest pillar to fake

• How metrics like Velocity Volatility and Sprint Target Completion reveal delivery risk

• The Quality signals that matter - from Bug Resolution Time to defect ratios

• The performance gap between top and bottom quartile teams

• How AI is improving quality for some teams and degrading it for others

• The most common anti-patterns that create false confidence in delivery

Why this topic matters

AI is increasing coding output, but it hasn’t fixed delivery. In many teams, it’s simply moved the bottleneck - into code review, testing, and quality.

That’s why teams still struggle with:

• Missed sprint commitments

• High levels of rework and defects

• Unpredictable delivery timelines

• Limited visibility into what’s actually going wrong

This session shows how to move beyond reporting and use metrics to:

• Improve planning accuracy and delivery consistency

• Reduce defect-driven slowdowns

• Stabilise delivery performance

• Turn engineering data into clear, actionable improvements

Who this is for

• VPs and Directors of Engineering focused on delivery reliability

• Heads of Engineering and QA leaders improving quality standards

• Product and Delivery leaders who depend on predictable outcomes

• Teams struggling with missed commitments, rework, or inconsistent delivery