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Last updated on 2024年9月28日

You're faced with Agile decision-making. How do you avoid the dangers of relying too much on intuition?

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In Agile methodologies, decision-making is a critical component that can significantly impact the success of a project. Agile, a set of principles for software development under which requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams, promotes adaptive planning, evolutionary development, early delivery, and continual improvement, and it encourages flexible responses to change. However, while intuition can be a valuable asset, relying on it too much in Agile decision-making can lead to suboptimal outcomes. It's essential to balance intuitive insights with logical reasoning and empirical data to navigate the complexities of Agile projects effectively.

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Blend intuition with data:

Trust your experience but back it up with real numbers to make informed choices. Use Agile tools like velocity charts and burn-downs to guide your decisions, reducing the risk of overcommitment.### *Involve the team:Get different perspectives to balance instinct with collective intelligence. Engage in planning poker and retrospective meetings to harness diverse insights, leading to more robust decision-making.

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Jordi Gelabert Culla ??

I lead tech projects to successful…
Dean Muzicka

Digital Transformation | Agile |…

1 Agile Basics

Agile methodologies revolve around iterative development, where solutions evolve through collaboration between self-organizing teams. It's a process designed to be adaptable to change rather than following a rigid plan. However, this flexibility can lead to hasty decisions based on gut feelings rather than data. To avoid this pitfall, you must understand the Agile Manifesto's core values: individuals and interactions over processes and tools, working software over comprehensive documentation, customer collaboration over contract negotiation, and responding to change over following a plan. These values encourage a balance between intuition and structured decision-making.

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Jordi Gelabert Culla ??

I lead tech projects to successful outcomes | Head of Projects @Holaluz | Top Agile Methodologies Voice
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Making Agile decisions can sometimes feel like a gut-driven sprint! But trusting intuition too much without data can trip you up. To avoid this: ?? Blend Intuition with Data: Trust your experience but back it up with real numbers to make informed choices. ?? Involve the Team: Get different perspectives to balance instinct with collective intelligence. ?? Test Early, Fail Fast: Use iterations to validate ideas before committing fully. Next time you're about to trust your gut, take a step back and check the data too—your project will thank you!

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Armand Pellin

Co-fondateur Yama CMS et chroniqueur Yama CORP.
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Il n'y a selon moi aucune place pour l'intuition dans une prise de décision sur un projet agile. Toute décision doit avant tout être motivée par des données/KPI et la feuille de route des sponsors du projet. L'intuition peut jouer un r?le dans l'anticipation des difficultés mais ne doit à aucun moment rentrer en compte dans les arbitrages ou les orientations données à un projet.

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2 Empirical Data

When making decisions in Agile, empirical data should be your compass. This means relying on observed and measured phenomena, and using that information to guide your decisions. For instance, velocity charts, burn-downs, and cumulative flow diagrams are Agile tools that help track team progress and forecast future performance. Instead of guessing how much work can be completed in the next sprint, use historical data to make an informed decision. This reduces the risk of overcommitment and under-delivery, which are common pitfalls when intuition overshadows fact-based planning.

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Victor Fairen

?? Enterprise Transformation Lead | Lean Agile Consultant | Business Agilty | Agile and Kanban Trainer, M3.0 and SAFe Instructor. Agile People Coach
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In an Agile team, we have two types of data sources that are ultimately related: Team performance: These metrics help ensure that predictability is achieved and also assist in keeping the team on track. Product: This is the most important, but unfortunately, the most difficult to obtain in certain environments. Having data on product performance, market penetration, user behavior, and other product-related information is crucial for prioritizing important work. However, these metrics are not just for the Product Owner (PO); the team also needs to understand them and their origin in order to develop the best solution.

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3 Logical Frameworks

Logical frameworks provide a structured approach to decision-making that can complement intuition. In Agile, techniques like SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) or the Five Whys can help you understand the underlying factors in complex situations. By systematically evaluating options and their potential impacts, you can make more informed decisions that align with your project goals. This doesn't mean disregarding intuition altogether but rather using logic to validate or challenge your gut feelings.

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Dean Muzicka

Digital Transformation | Agile | Broadcast Media | Telco | IoT | DataMiner DevOps Enabler
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When making decisions in Agile, I’ve learned that relying solely on intuition can lead to blind spots. To avoid this, I like to use logical frameworks, like SWOT analysis, which provide a structured way to assess all angles—strengths, weaknesses, opportunities, and threats. It helps balance gut feelings with a more grounded, data-driven approach. This way, decisions are not only faster but also smarter and better thought-out.

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4 Team Collaboration

One of Agile's strengths is its emphasis on team collaboration. When you're faced with a decision, bring it to the team. Diverse perspectives can offer insights that you might not have considered on your own. Use techniques like planning poker for effort estimation or retrospective meetings to discuss what worked and what didn't. This collective wisdom can help balance personal intuition with the shared experiences of the team, leading to more robust decision-making.

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5 Continuous Feedback

Agile thrives on continuous feedback. It's a mechanism that helps validate decisions and course-correct when necessary. By breaking projects into smaller increments, you can gather feedback early and often from real users or stakeholders. This feedback loop can confirm or refute the initial intuitive assumptions and guide future decisions. It's an empirical way to measure the effectiveness of your choices and adjust your approach accordingly.

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6 Reflective Practices

Finally, reflective practices are vital for fine-tuning your decision-making process. Agile methodologies like Scrum encourage regular reflection on what's working and what isn't. By conducting sprint reviews and retrospectives, you can analyze the outcomes of your decisions and understand the rationale behind them. This reflective process helps identify patterns in your decision-making, allowing you to recognize when you're overly reliant on intuition and need to incorporate more data-driven approaches.

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?????????? ?????????? ?

??Top Agile Methodoligies & BA Voice?? | CSPO? | SAFe Agilist 5.0 | CSM? |SSYB | | Agile Hybrid Pro | Payments SME | ??Passionate about Open Finance Innovation??
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To avoid relying too much on intuition, complement it with data-driven insights. Utilize metrics, user feedback, and A/B testing to validate decisions. Encourage collaborative discussions, where team members challenge assumptions and present evidence-based arguments. This approach ensures decisions are well-informed and aligned with project goals, reducing risks and enhancing outcomes.

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You're faced with Agile decision-making. How do you avoid the dangers of relying too much on intuition?

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1 Agile Basics

2 Empirical Data

3 Logical Frameworks

4 Team Collaboration

5 Continuous Feedback

6 Reflective Practices

Agile Methodologies

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You're faced with Agile decision-making. How do you avoid the dangers of relying too much on intuition?

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3

4

5

6

1 Agile Basics

2 Empirical Data

3 Logical Frameworks

4 Team Collaboration

5 Continuous Feedback

6 Reflective Practices

Agile Methodologies

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