At Nanami, we believe that effective problem solving is the key to success in any field. Our team has refined a seven step problem solving framework that has proven to be highly effective in tackling complex challenges in digital signal processing and machine learning.
1
Define the problem
We start by defining the problem at hand. It's important to be specific and to have clear, measurable success criteria in place. By setting boundaries in terms of time and values, we can ensure that we are focused on finding the best solution possible.
2 Disaggregate issues
We disaggregate the issues by using logic trees to generate alternative hypotheses and by cleaving the problem into smaller, more manageable pieces. We also utilize theoretical frameworks from the fields of digital signal processing and machine learning to guide our thinking.
3 Prioritize
We prioritize the various issues at play by identifying the branches with the highest impact and leverage. This helps us to focus our efforts on the most important elements of the problem.
4 Define work plan
This step involves defining a work plan for gathering and analyzing the necessary information. This includes specific outputs and completion dates, as well as team norms to ensure that our work is unbiased and thorough.
5 Analyze critically
We use simple heuristics to test our hypotheses and begin to understand where more complex work may be needed. We provide one-day answers in the form of situation, observation, and initial conclusions, which are then reviewed by the team.
6 Synthesize
We test the validity of our findings and incorporate them into a logical structure, using team processes to ensure that all perspectives are taken into account.
7 Communicate powerfully
Finally, we communicate our findings and recommendations in a clear and powerful way. This includes defining a storyline based on the governing thought or argument, and outlining the situation, observation, and conclusion.
With our seven step problem solving framework, our engineering team is equipped to handle even the most complex challenges in the fields of digital signal processing and machine learning. If you are in need of top talent for your projects, don't hesitate to reach out to us. We would be happy to help.