Risk is part of the job. Risk is not something to be avoided, but embraced! That doesn't mean blindly making a decision and sticking to it. This is why agility is needed. If things are risky, that is even more reason to be data driven. If we set out on a path and learn new information, then we adjust. It's not only about thinking really hard at the start. We minimize risks by expecting that things will change, and responding appropriately. Not responding to new information is when risk can become unacceptable.

Navegar em opini?es conflitantes sobre níveis de risco aceitáveis em um projeto de engenharia requer uma abordagem estruturada. Primeiramente, estabele?o um ambiente de comunica??o aberta, onde todos os membros da equipe possam expressar suas preocupa??es e opini?es. Em seguida, utilizo ferramentas de análise de risco, como a matriz de riscos, para quantificar e classificar os riscos identificados. Isso ajuda a tomar decis?es baseadas em dados e n?o apenas em percep??es. Promovo discuss?es focadas em evidências, considerando fatores como impacto, probabilidade e custo. Finalmente, busco consenso através de workshops ou reuni?es, onde as solu??es s?o colaborativas, equilibrando seguran?a e inova??o.

All opinions are valid and should be heard. In fact, if there is a significant divergence, it gives you valuable information about the project's definition or the team's health, and extra effort should be made to assess the situation. On some occasions, I have used a simple activity such as a visual tool, like a risk matrix, to evaluate the consequences of a strategy. Other times, a healthy discussion with moderation helps to develop a strategy that converges and is the most appropriate.

-> Start with a data-driven approach, analyzing past product metrics/PIRs to identify risk patterns. -> Consult diverse stakeholders, including your team and the steering committee, to take their buy-in. -> Establish a clear risk appetite, being open to adjustments based on feedback. -> Identify high-risk areas by evaluating their impact and likelihood, focusing on those that threaten business continuity. -> Decide whether to accept, absorb, or mitigate these risks, setting clear measures for each. -> Balance short-term gains with long-term stability by prioritizing features with immediate value while addressing technical debt. -> Implement continuous risk assessment throughout the project and document reasoning behind decisions.

Navigating conflicting opinions on risk levels: 1. Assess Impact: Know the potential consequences. 2. Gather Data: Use evidence to support arguments. 3. Encourage Open Discussion: Create a safe space for all voices. 4. Set Criteria: Define clear risk assessment standards. 5. Seek External Advice: An unbiased perspective can help. 6. Document: Keep records of discussions and decisions. 7. Use Frameworks: Apply structured evaluation methods. 8. Prioritize: Focus on high-impact risks. 9. Communicate: Maintain open communication. Balancing different opinions while managing risk levels requires tact, diplomacy, and a solid approach to data-driven decision-making.