You're knee-deep in an ML project. How do you handle stakeholder demands for extra features?
Managing stakeholder demands for extra features in an ML project requires a balance of diplomacy and clear communication.
When you're knee-deep in a machine learning (ML) project, handling stakeholder requests for additional features can be tricky. Here's how to manage these demands effectively:
How do you handle feature creep in your projects? Share your strategies.
You're knee-deep in an ML project. How do you handle stakeholder demands for extra features?
Managing stakeholder demands for extra features in an ML project requires a balance of diplomacy and clear communication.
When you're knee-deep in a machine learning (ML) project, handling stakeholder requests for additional features can be tricky. Here's how to manage these demands effectively:
How do you handle feature creep in your projects? Share your strategies.
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It is always important to understand your client's needs behind the added requirements. It is up to us to provide the expertise on how beneficial these would be. In most cases it is beneficial but not always feasible to quickly adapt those changes into your agile delivery. Decisions have to be made on importance vs feasibility which requires us to do some thorough homework and have meetings to discuss the impact with all project members. It is wise to always listen to your client and request for a day to report back on the business impact of the changes. In today's world, changes are expected and are expected fast. Just remember that some of these are important and bear future consequences and so be ready to adapt with a positive attitude.
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I prioritize open communication and clear expectations. When stakeholders request extra features, I evaluate their impact on the project timeline and objectives. I explain trade-offs, offer alternatives if necessary, and collaborate to ensure that any changes align with the overall goals without compromising quality or deadlines.
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To handle feature creep in ML projects, I set clear expectations about scope, priorities, and potential impacts of new requests. When stakeholders propose additional features, I assess their importance and negotiate trade-offs, often suggesting that non-essential features be included in future phases. I document each change request to maintain transparency and help stakeholders understand how it affects timelines and resources. This approach keeps the project focused while still accommodating feedback and improvements.
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* Set Clear Expectations: * Define the project's scope, timeline, and priorities. * Establish open communication channels. * Evaluate New Features: * Assess technical feasibility, data availability, and potential risks. * Negotiate and Prioritize: * Communicate constraints and offer alternative solutions. * Prioritize features based on impact and feasibility. * Document decisions. * Manage Expectations: * Be honest about potential impacts. * Communicate regularly. * Be proactive. To prevent and manage feature creep: * Enforce a strict change management process. * Prioritize ruthlessly. * Set clear deadlines. * Use Agile methodologies. * Regularly review and re-prioritize.
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Revisit Priorities: Remind stakeholders of the project’s core objectives. Assess Impact: Evaluate if the new feature adds immediate value or can wait. Communicate Trade-Offs: Explain how extra features could delay timelines or affect quality. Propose Phases: Suggest adding features in future iterations after key goals are met. Stay Flexible: Address critical requests without losing focus on the main deliverables.