Why Agile Teams Struggle with Predictability (and How Data Can Fix It)
SPK and Associates
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Why Agile Teams Struggle with Predictability (and How Data Can Fix It)
23 просмотра · 12 дней назад
SPK and Associates
186 подписчиков
23 просмотра · 12 дней назад
#Agile #Jira #Atlassian #ActionableAgile #AgileMetrics #SoftwareDevelopment #DevOps
00:00 Introduction: Why Agile Teams Struggle with Predictability
01:16 Why Story Points and Gut Feel Fall Short
04:01 The Problem with Turning Complexity Into Time
06:33 Using Historical Data Instead of Guesswork
08:39 Introducing ActionableAgile Analytics
11:02 Flow Metrics: Cycle Time, Throughput, WIP and Work Item Age
13:45 Using Jira Data to Identify Risks and Bottlenecks
16:22 Turning Data Into Better Stakeholder Conversations
18:14 A Real-World Agile Predictability Success Story
20:54 Probabilistic Forecasting and Understanding Delivery Risk
22:57 Reducing Work in Progress and Improving Flow
25:29 Using Data to Make Better Agile Decisions
Why do Agile teams still struggle to answer one of the most basic stakeholder questions: “When will it be done?”
In this SPK and Associates vlog, Michael Roberts, VP of Sales and Marketing at SPK and Associates, sits down with Julia Wester, CEO of 55 Degrees, an Atlassian Marketplace partner and the company behind ActionableAgile Analytics. They discuss why traditional approaches like story points, estimates, and gut feel often fall short when teams try to predict delivery dates, and how actual historical Jira data can provide a better approach.
Julia explains how flow metrics and probabilistic forecasting can help teams understand what their delivery data is really telling them. Rather than replacing Agile practices, teams can use data alongside their existing processes to create more realistic forecasts, identify bottlenecks and aging work earlier, reduce work in progress, and have better conversations with stakeholders.
Michael and Julia also discuss a real-world example where a team routinely planned 20+ items per sprint even though its historical data showed it could reliably deliver closer to 10. By using ActionableAgile Analytics and focusing on actual performance data, the organization was able to make more achievable commitments, reduce work in progress, save planning time, and better understand the risk behind its forecasts.
If your teams use Jira and struggle with unpredictable delivery dates, missed commitments, bottlenecks, or stakeholder expectations, this conversation provides a practical look at how ActionableAgile Analytics from 55 Degrees can help turn the data you already have into better decisions.
ABOUT SPK AND ASSOCIATES
SPK and Associates (https://www.spkaa.com/) is a leading woman-owned Engineering & IT Services Company that serves product and software development teams. For 20 years, we have helped our customers harness technology to optimize engineering and attain their business goals. We understand the systems, processes, data and applications critical to successful product development, and dedicate ourselves to helping you build, test, and release your products faster and better. Our core expertise covers four functional areas:
– Product Lifecycle Management (PLM, PDM, QMS, MCAD, ECAD) - https://bit.ly/3nr3D6F
– Software Lifecycle Management (ALM, DevOps) - https://bit.ly/3JSK3HQ
– Cloud for Engineering (Infrastructure, Security) - https://bit.ly/3nrVD54
– Data Engineering and Analytics - https://bit.ly/3KcmMlx
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