How do you evaluate and learn from your project successes and failures in different environmental contexts?

I would also add a cultural element. Different cultures prioritize different evaluation criteria. For example, some cultures might link success directly to profit. Whereas another might link to efficiency or ease of development. This is especially important in global organizations where different cultural values regarding success may impact the decisions made at local offices, which may go against the global vision.

Los principales criterios de evaluación son: 1. Tiempo (cronograma) 2. Costo (presupuesto) 3. Especificaciones (técnica) Sin embargo tambien se debe tener en cuenta la aceptación del cliente y entorno.

Defining evaluation criteria means establishing clear, measurable standards for project success. I align criteria with project objectives, ensuring they're specific, measurable, achievable, relevant, and time-bound (SMART). Stakeholder expectations play a vital role, ensuring satisfaction aligns with broader organizational goals. Collaboration with stakeholders is key; their input helps integrate diverse perspectives. Flexibility is crucial; criteria may need adjustments based on project changes. Regular reviews and updates maintain relevance throughout the project, ensuring criteria remain robust and effective in gauging success.

To evaluate and learn from project successes and failures in diverse environmental contexts, one can employ a structured approach. Start by defining clear objectives and metrics tailored to each context. Use a mix of quantitative data (like surveys, environmental assessments) and qualitative data (interviews, case studies) to capture a holistic view. Analyze trends, patterns, and correlations to identify key insights and lessons. Iterate and refine strategies based on data-driven findings for continuous improvement and impact.

It's also important to keep an open, honest mind as data starts coming in. If we start to see data that indicates a negative, it's important to not ignore that. Sometimes we want a project to succeed to the point where we influence the data story by ignoring the truth that the data is saying.

Podriamos ver el contexto del Proyecto y PMI, programas, Ciclos de vida y fases del proyecto; para segurar un proceso de iniciación documentado, project charter, acta de contitución de proyecto, stakeholders, etc

I've also found keeping notes in an easy-to-find database or wiki is a great way to ensure people can easily search for notes, tips, or lessons learned. Often times notes are fragmented, dispersed, or kept secret. By having an open, easy-to-locate and easy-to-use project database, you can share knowledge more freely and allow more people to learn lessons from the past. I often wonder if this would be a good point for Generative AI to step in - if the AI has access to the database, then people can query the AI and ask if a similar project had similar issues and how the team overcame it without the labour of having to comb through documentation.

Uno de los pasos mas importante para evitar que situaciones similares sucedan en el mismo proyecto o otros proyectos; por tanto esto ingresa a la información de causistica.

1. Establish a Review Process - Set up regular review meetings at key project milestones and after project completion to assess performance. - Involve a diverse group of stakeholders in the review process, including team members, management, and external stakeholders, to gain multiple perspectives. 2. Define Success and Failure Criteria - Clearly define what success and failure mean for your project in its specific environmental context. Criteria can include budget adherence, timelines, quality, stakeholder satisfaction, and achievement of project goals. - Customize criteria based on the environmental context (e.g., regulatory, cultural, economic factors) to ensure relevance and fairness in evaluation. 3. Collect Data and Feedback