Active Listening: Understand team members' viewpoints to foster collaboration, as seen in discussions where all voices are heard. Brainstorming Sessions: Generate diverse ideas collectively; for example, using whiteboards for visual collaboration. Prototyping: Create mock-ups to visualize features before implementation, allowing for early feedback and adjustments. A/B Testing: Test different feature versions with users to determine preferences, enhancing decision-making based on real data. Iterative Feedback: Regularly solicit user input throughout development, ensuring the final product aligns with user needs and expectations.

- Create an AI movie that shows how product will work for each feature version, enhance advantages and disadvantages. Distribute it to team members and let them analyze it. - Get them in a meeting to ask questions and let them express concerns, listen to all opinions. Treat this session like a brainstorming meeting and collect ideas. - Put yourself into team's shoes and analyze their perspective and proposals argumentation. - Find a win-win solution that solves their concerns while considering base changes you need and adopting any valuable idea proposed. - Modify the AI movie accordingly and present it again as a final solution to the team; ask members for voting and reasoning. - Iterate the discussion if needed, to improve and refine.

I would propose a much more creative and provocative technique such as reverse brainstorming. It consists of proposing ideas that make the problem worse instead of proposing improvements. Once we are in more hostile territory, we turn it around and that is when we build on all the negatives. The results are far more productive and surprising than with conventional brainstorming.

In product development conflicts, I view differing opinions as opportunities for innovation. I start with active listening to ensure all perspectives are heard and valued. This fosters trust and opens the door for collaborative brainstorming sessions, where we can generate creative alternatives together. Additionally, implementing prototypes or A/B testing allows us to evaluate different features objectively, providing data-driven insights that guide our decisions and align the team towards a unified solution.