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How to Say “It Depends” with Data.
- Analyzing backlog volatility and coherence is crucial for informed decision-making and effective communication with stakeholders.
- Backlog size can mask volatility, affecting correlation scores interpretation. Analyzing subsets is recommended.
- High Spearman’s ρ or Kendall’s τ scores indicate stable priorities, while low scores signify drastic shifts.
- Stakeholders' changing demands play a significant role in prioritizing backlog items and influencing predictability.
- Transparency about backlog volatility is essential for managing expectations and communicating effectively.
- Forecasting delivery timelines requires considering both past performance and current backlog volatility.
- Prioritizing honesty and transparency when priorities shift drastically is key to maintaining stakeholder trust.
- Data-driven insights enable more confident conversations with stakeholders, emphasizing the importance of context.
- Using data without understanding the context can be misleading and unprofessional, emphasizing the need for ethical data usage.
- Pairing data with contextual understanding and effective communication is essential for leveraging its power in decision-making.
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