What do you do if stakeholders' expectations in algorithm-based projects are unrealistic?

2 Educate Tactfully

Once you've understood the expectations, it's time to educate stakeholders tactfully. Avoid technical jargon that can confuse non-technical stakeholders. Instead, use analogies and simple explanations to convey the challenges and limitations inherent to algorithmic projects. This is also the time to discuss the trade-offs between accuracy, speed, and complexity, which are often at the heart of algorithmic constraints. By doing so, you create a common ground of understanding and set the stage for realistic expectations.

3 Propose Alternatives

If expectations are still unrealistic after educating stakeholders, propose alternative solutions. Present different scenarios that balance feasibility with desired outcomes. For example, if a stakeholder expects 100% accuracy in data predictions, explain the trade-offs and suggest a more realistic figure that can be achieved within the project's constraints. Offer a phased approach where you can deliver a minimum viable product first and improve upon it iteratively. This shows your commitment to meeting their needs while being practical.

4 Set Milestones

Setting clear milestones is key for managing expectations. Break down the project into smaller, achievable goals with deadlines. This will not only help stakeholders see progress but also provide opportunities to review and adjust expectations as needed. Ensure that each milestone has measurable outcomes so that success can be quantified. This approach keeps everyone on the same page and helps prevent scope creep, which can occur when expectations change or expand over time.

5 Communicate Regularly

Effective communication is the cornerstone of expectation management. Keep stakeholders in the loop with regular updates, highlighting both successes and challenges. This transparency builds trust and allows for proactive handling of any issues that may arise. Use visuals like charts or graphs to illustrate progress and make complex data more digestible. Remember, consistent communication helps manage expectations by reinforcing what is achievable within the project's parameters.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?