So in situation where the conventional solutions are not effective, it's crucial to adopt a flexible and innovative approach to problem-solving. Here's the structural method I followed to navigate the scenario and along with the specific steps to innovate or create a new path. So understand the problem deeply. Start with a thorough analysis of the problem. Understand all the aspects and parameters involved and gather as much information as possible. Then engage the stakeholder, include customer, team members and domain experts to gain different perspective and insight. Then use techniques like five-wise or fused-bones diagram to identify the root cause of the issue rather than just adhering to the symptoms. Then do the research and benchmarking. Research the existing solution in a related field or industry that might have a similar problem. This can provide inspiration and partial solutions. Compare the current situation with the similar scenario in other parts. Produce products to understand what worked and what didn't. Then do the brainstorming and ideations or conduct brainstorming sessions with the team to generate a wide range of ideas including street thinking and work criticism during this phase to foster creativity. Then use mind mapping to visualize organized ideas and explore connection between different concepts. Then prototyping experimentation so develop good prototype to test out the most promising idea. This helps in understanding the feasibility and potential impact on the solution. Conduct control exam to validate the hypothesis. Use A-B testing or split testing where applicable to compare the effectiveness of different approaches. Then leverage the cross-discipline knowledge. Cross-discipline approach to supply the knowledge and techniques from other disciplines or domains. For example, we bring principles from data science, machine learning and even other different like biology or economics can offer fresh perspectives. Combine elements from different traditional approaches which can help with solving issues that leverage the strength of each. Then implement solution interoperability in the design practice. This will allow for continuous feedback and refinement. Collect the feedback from users and stakeholder to ensure the solution meets their needs and address the problem effectively.
