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Last updated on 2024年7月26日

You're drowning in feedback on your analytical models. How do you decide what changes to make?

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When you've developed analytical models, feedback can often flood in, leaving you overwhelmed. This deluge of input may come from various stakeholders, each with their unique perspective on your model's performance and potential improvements. It's crucial to navigate through this sea of suggestions efficiently. To avoid getting swayed by every opinion, you need a systematic approach to evaluate the feedback and decide which changes will genuinely enhance your model's accuracy and usability.

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Youness Ben Jelloun

??Je vous accompagne à structurer vos data, à les exploiter, ?? automatiser et à restituer vos kpi???SCRUM Master ?…
Musiimire Viola

Legal Manager @ Watu Credit | Privacy Compliance, Contract Law

1 Prioritize Input

Prioritizing feedback is essential when you're inundated with suggestions for your analytical models. Consider the source of each piece of feedback and its potential impact on the model's performance. Feedback from end-users who interact with the model daily may be more immediately actionable than theoretical suggestions from those less familiar with its practical application. Additionally, prioritize changes that address the accuracy and reliability of the model over aesthetic alterations, as these will have a more significant effect on the model's overall success.

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Youness Ben Jelloun

??Je vous accompagne à structurer vos data, à les exploiter, ?? automatiser et à restituer vos kpi???SCRUM Master ? Accredited Certification?| DATA Consulting#data,scraping,prévision#Planification#Reporting#Statistique
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valuez la source de chaque commentaire et son impact potentiel sur les performances du modèle. Par exemple, les retours des utilisateurs finaux, qui utilisent quotidiennement le modèle, peuvent offrir des insights pratiques plus précieux que les suggestions théoriques. Concentrez-vous d'abord sur les modifications liées à l'exactitude et à la fiabilité du modèle, car elles influencent directement son succès, avant de considérer les aspects esthétiques ou secondaires.

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Musiimire Viola

Legal Manager @ Watu Credit | Privacy Compliance, Contract Law
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Prioritizing feedback effectively is crucial when dealing with a high volume of suggestions for analytical models. Here's a summary of the key points: 1. Consider the source: Weigh feedback based on the source's familiarity with the model's practical application. End-user feedback may be more valuable than theoretical suggestions from less familiar individuals. 2. Assess potential impact: Evaluate the potential impact of each suggestion on the model's performance. Focus on changes that significantly affect accuracy and reliability. 3. Prioritize substance over style: Address changes that improve the model's accuracy and reliability before making aesthetic alterations. This ensures the model's overall success and effectiveness.

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2 Assess Impact

Assessing the impact of proposed changes on your analytical model involves a delicate balance. You need to weigh the potential benefits against the time and resources required to implement the changes. It's beneficial to conduct a cost-benefit analysis, estimating the value added by enhancing the model's accuracy or user experience against the effort involved. This analysis will help you decide whether a suggested change is worth pursuing or if it would be better to allocate your resources elsewhere.

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3 Seek Clarity

When feedback is ambiguous or lacks specifics, seeking clarity is paramount. Don't hesitate to reach out to the individuals who provided the feedback for more details. You need to understand the context and rationale behind their suggestions to evaluate their relevance and feasibility accurately. Clear communication can uncover underlying issues that may not be immediately apparent and can lead to more effective improvements in your analytical models.

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Musiimire Viola

Legal Manager @ Watu Credit | Privacy Compliance, Contract Law
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Seeking clarity is essential when faced with ambiguous or vague feedback. Here's a breakdown of the key points: 1. Don't hesitate to ask for clarification: Reach out to the individuals who provided the feedback to gain a deeper understanding of their suggestions. 2. Understand the context and rationale: Ask questions to uncover the reasoning and context behind their feedback. This will help you evaluate the relevance and feasibility of their suggestions. 3. Clear communication is key: Open and clear communication can reveal underlying issues that may not be immediately apparent. This leads to more effective and targeted improvements in your analytical models.

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4 Test Changes

Before fully implementing changes based on feedback, it's wise to test them in a controlled environment. Create a sandbox or use a development server to tweak your model and observe the outcomes. This approach allows you to make adjustments without affecting the live model and provides an opportunity to gather data on the changes' effectiveness. Testing helps ensure that modifications will improve the model as intended and do not introduce new issues.

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5 Document Decisions

As you decide which feedback to act on, documenting your decisions is crucial. This record-keeping serves multiple purposes: it provides a rationale for changes made, helps in tracking the model's evolution, and informs future decisions. By maintaining clear documentation, you create a reference that can be invaluable for understanding the impacts of your changes and for communicating those decisions to stakeholders.

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Musiimire Viola

Legal Manager @ Watu Credit | Privacy Compliance, Contract Law
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Documenting feedback decisions is vital as it provides a clear rationale for changes, tracks the model's evolution, and informs future decisions. This record-keeping enables transparency, accountability, and informed decision-making, ultimately leading to more effective model development and stakeholder communication.

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6 Reflect Regularly

Regular reflection on the feedback process can lead to improvements in how you handle input on your analytical models. Consider setting aside time periodically to review the feedback received, the decisions made, and the outcomes of those decisions. This practice can help you refine your approach to managing feedback, identify patterns in the types of suggestions that are most beneficial, and improve your overall analytical skills.

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You're drowning in feedback on your analytical models. How do you decide what changes to make?

1

2

3

4

5

6

1 Prioritize Input

2 Assess Impact

3 Seek Clarity

4 Test Changes

5 Document Decisions

6 Reflect Regularly

Analytical Skills

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You're drowning in feedback on your analytical models. How do you decide what changes to make?

1

2

3

4

5

6

1 Prioritize Input

2 Assess Impact

3 Seek Clarity

4 Test Changes

5 Document Decisions

6 Reflect Regularly

Analytical Skills

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感谢您的反馈

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