Problem-solving is a crucial skill for product R&D professionals, who face complex and uncertain challenges every day. However, how do you know if your problem-solving strategies are effective and efficient? In this article, we will explore some ways to evaluate your problem-solving skills and improve them over time.
The first step in any problem-solving process is to clearly define the problem you are trying to solve. This means identifying the root cause, the scope, the constraints, and the desired outcome of the problem. A well-defined problem will help you focus your efforts and avoid wasting time and resources on irrelevant or superficial issues. You can use tools such as the 5 Whys, the Fishbone Diagram, or the Problem Statement to define the problem in a structured and concise way.
In my opinion, catalysing the problem by charting a flow diagram & it's bits-pieces for full-scope visualisation is significant. In my experience, this at times has also helped in re-defining the problem, even finding the cause as well at times, which might evolve to be altogether a new & easier direction.
The next step is to choose a problem-solving strategy that suits the nature and complexity of the problem. There are many problem-solving strategies available, such as brainstorming, trial and error, analogies, heuristics, algorithms, or design thinking. Each strategy has its advantages and disadvantages, depending on the situation and the goal. You should consider factors such as the available information, the time frame, the resources, the stakeholders, and the criteria for success when choosing a strategy.
There can be many random scenarios that can help, however while I was handling one of such scenarios, working backwards helped us, however we followed couple of trial-&-error methods too. Surprisingly, in that scenario, my Gut-instincts was very helpful, it worked in that specific scenario. It all depends on thorough catalysed brainstorming, which happens through high-order thinking skills with years of experience from multiple stakeholders/heads, in war rooms
The third step is to implement the problem-solving strategy and monitor the progress and results. This means following the steps and rules of the strategy, collecting and analyzing data, testing and validating solutions, and documenting and communicating the findings. You should also be flexible and adaptable, as you may encounter unexpected challenges, feedback, or opportunities along the way. You should be ready to revise or change your strategy if necessary, based on the evidence and feedback.
The final step is to evaluate the outcome of the problem-solving process and reflect on the lessons learned. This means comparing the actual results with the expected results, measuring the impact and effectiveness of the solution, and identifying the strengths and weaknesses of the strategy. You should also solicit feedback from others, such as customers, users, colleagues, or experts, who can provide different perspectives and insights on the problem and the solution.
Evaluating your problem-solving skills is not a one-time event, but a continuous and iterative process. You should always seek to improve your skills by learning from your experiences, feedback, and mistakes. You should also expose yourself to different types of problems, strategies, and domains, to broaden your knowledge and creativity. You should also practice your skills regularly, by applying them to real or hypothetical scenarios, or by participating in problem-solving exercises, games, or competitions.
One way to simplify and standardize your problem-solving evaluation is to use a framework or a model that guides you through the process. A framework can help you structure your thinking, organize your information, and track your progress. There are many frameworks available, such as the PDCA Cycle, the SMART Criteria, or the Kepner-Tregoe Method. You can also create your own framework, based on your preferences and needs. A framework can also help you communicate your problem-solving process and results to others, such as managers, clients, or investors.
1. Measure the outcomes: Assess if the strategies have successfully solved the problem and achieved the desired results. 2. Analyze efficiency: Determine if the strategies have improved the efficiency of the R&D process, such as reducing time or resources required. 3. Cost-effectiveness: Evaluate if the strategies have helped in reducing costs or optimizing resources. 4. Customer satisfaction: Gather feedback from customers to gauge if the strategies have resulted in improved products or services. 5. Team feedback: Seek input from team members involved in the R&D process to understand their perspective on the effectiveness of the strategies.
Some more options are: - Asking for feedback at different level - Analysing your competitor's play closely - 80/20 rule also helps with root-cause analysis many a times