Here's how you can build a problem solving framework with key components.

There is a famous Saying "If you can clearly write down a problem, it is half solved" 1. Foundation for Solutions: A well-defined problem acts as a roadmap, guiding your entire approach to finding a resolution. By clearly understanding the issue, you can brainstorm relevant solutions and avoid wasting time on irrelevant ones. 2. Understanding the impact: Analytical skills come into play here. You need to ask yourself "who is affected by this problem?" and "why is it important to resolve it?". This helps assess the severity and scope of the issue, ensuring you prioritize effectively.

Creating a robust problem-solving framework begins with accurately identifying the issue at hand. Below are five steps you can take to create a problem-solving framework: 1. Start by clearly defining the problem. 2. Gather comprehensive data and observe the situation to understand its context and nuances. 3. Engage with stakeholders to gain diverse perspectives and uncover underlying causes. 4. Analyze the information collected to identify patterns and root causes. 5. Develop a precise problem statement that is specific, measurable, and actionable. This clarity sets the foundation for generating effective solutions, ensuring that the subsequent steps in the framework are targeted and efficient in addressing the core issue.

Throughout the problem-solving framework, it's essential to maintain effective communication, collaboration, and documentation. Regularly communicate progress, challenges, and results to relevant stakeholders. Foster a collaborative environment that encourages open dialogue and diverse perspectives. Document the process, decisions, and outcomes for future reference and knowledge sharing.

A problem-solving framework can be built by defining the problem clearly, breaking it down into smaller, manageable components, and then systematically addressing each part. Key components include problem identification, root cause analysis, solution generation, implementation, and evaluation. Incorporating tools like SWOT analysis, brainstorming, and feedback loops ensures thorough and effective problem resolution.

Most of the time people end up solving wrong problems, because they identified the wrong issue. Examples of wrong issue identification: - Students in their academics They think that, obtaining good grades in exams makes them learned and successful. (Wrong) They end up focusing on how to obtain good grades instead of correct learning which eventually helps them get good grades in exams. - Obtaining LinkedIn top voice badge Many people think writing something on these articles may fetch them the top voice badge. It doesn't. The correct issue identification is, writing when you have something good to offer is an objective. If it's really good you will end up being Top Voice.

"Quality data is more valuable than Quantity";Agreed !?? Keep in mind that the correct expression is: Quality > Quality ! Quality is to be prioritised, having a quality data saves time, resources and energy !. With a quality data,you don't get to spend so much time in data cleaning.

This is probably the most important aspect, especially for what is or will become a large dataset. It must be normalized at inception. Create guardrails for data collection right at the start to avoid painful issues down the road.

Uma vez identificado o problema, reúna dados relevantes. Isso envolve coletar informa??es que esclare?am várias facetas do problema. Utilize ferramentas e técnicas como observa??o, pesquisas e análise de dados para compilar um conjunto robusto de informa??es. Lembre-se de que a qualidade dos dados é mais importante que a quantidade. Concentre-se em dados diretamente relacionados ao problema, incluindo tanto quantitativos quanto qualitativos. Dados precisos e relevantes s?o essenciais para fundamentar uma análise eficaz e desenvolver solu??es bem informadas.

Esta coleta de dados pode ser realizada através de pesquisas de mercado, análise de feedback de clientes, monitoramento de métricas de desempenho, uso de ferramentas de análise de dados, e implementa??o de sistemas de informa??o que capturem informa??es relevantes para o negócio.

The information we have on the problem is invaluable, so that we can assess how far we have moved away from the problem with each step we take towards a solution.

Revisa los Indicadores Clave de Rendimiento (KPIs) del proyecto para detectar desviaciones respecto a los objetivos previstos. Analiza las tendencias en los datos del proyecto para identificar patrones que puedan indicar problemas. Por ejemplo, si un KPI importante como el tiempo de entrega está constantemente por encima del objetivo, esto puede ser un indicio de un problema subyacente que necesita atención.

In a SaaS company, building a problem-solving framework starts with effective data analysis, guided by OKRs and KPIs. Once you've gathered data, analyze it to uncover patterns, trends, or anomalies that may affect performance. This could involve looking at KPIs like customer churn, acquisition costs, or feature adoption rates. Align your insights with company OKRs to ensure they address key objectives. By identifying the root causes impacting these metrics, you can develop targeted solutions that not only resolve the issue but also drive progress toward your strategic goals. This data-driven approach enhances decision-making and long-term growth.

Very helpful! Also ,i think that getting to understand your data, the various data types, the units, will aid in the identification of patterns , trends and anomalies .

Análise de dados para negócios envolve limpeza, explora??o, análise estatística, segmenta??o, modelagem preditiva, análise de causa e efeito, visualiza??o, interpreta??o para a??es e monitoramento contínuo.

Generating multiple solutions is the first step and finding the optimal one out of those can be the best way to resolve any concern. This can be done by traditional way of having multiple brainstorming sessions. But there is one other way also, through reverse brain storming. This is a faster technique where we start from the desired end result and then ask series of HOW to understand the ways to reach there. It really works. Tried and tested.

Identifying potential solutions can be more time consuming than it seems, One trick or process i follow is to write down at least 20 solutions for the problem, I know it seems difficult and unnecessary but this works for me. Brainstorming First 10 solution is cake walk but next 10 or last 5 can take a while but these last ideas are the ones which may seem unconventional but are feasible at the same time.. So my approach is to focus more on 5 best ideas out of these 20.

I like to think about solutions using a time horizon. Short-term: what can I do today to stop the bleeding? Mid-term: what can we do if we have time to redesign the process? Long-term: what is the best long term solution to this issue?

Generating solutions, multiple in fact is key. In a team setting presenting multiple solutions and narrowing to the most appropriate with input from the team helps build morale, sense of belonging and execution will be more successful

Para gerar solu??es efetivas precisamos estar atualizados, ter a mente aberta, aceitar ajuda quando necessário, buscar sempre conhecimento e ter a mente focada.

If everything is clear on the table, all you have to do is act. This is one of the most important bends in your problem solving.

after corrective action, now the time is for giving a permanent solution to avoid the similar failures in future. This should not be decided alone but with all stakeholders.

Decide on Action: Select the best solution based on data analysis results. For example, if data analysis shows that customer dissatisfaction is linked to delivery delays, decide to optimize the supply chain process. Use predictive analytics to forecast the outcomes of each potential solution, ensuring the choice is data-driven. Prioritize solutions that provide the highest ROI and align with the overall data-driven strategy.

As explained in the previous steps, making the correct decision has become very easy. Big changes are often necessary to solve difficult problems,, so you need to prepare your team or your customers. Take your time and focus on explaining the rationale for change and the benefits that it brings. Provide the right training to your staff and support your users with onboarding and product education to reduce friction once the new solution goes live.

Action is the main objective of any analysis or change. I do not like long term plans. We do small steps in short sprints, evaluate, pivot and move to the next sprint.

When implementing a solution, start with a detailed plan that breaks down tasks, sets timelines, and assigns responsibilities. Make sure you have all the resources you need, whether it’s people, tools, or budget. As you begin executing the plan, keep a close eye on progress. Regular check-ins and metrics help you stay on track. Be ready to adjust your approach based on what you learn along the way. Document everything—what you did, what worked, and what didn’t. Clear communication with your team and stakeholders is crucial to keep everyone aligned and address any issues that come up. This ensures the solution is effective and any necessary tweaks are made promptly.

Creating a road map to solution helps with effective execution. It acts as a framework for you and your team to stay on track until the finish line

Mapping stakeholder impact of a proposed solution empowers you to effectively manage change. This allows you to categorise stakeholders as detractors, aligned parties, or neutral, informing the development of a tailored change plan.

Pienso que un punto importante y que no se esta considerando, son las lecciones aprendidas y como evitar que el problema vuelva a suceder. Debemos tener claro que a veces las soluciones son de manera temporal y que se debe revisar a detalle el origen del problema para determinar si la solución es definitiva o no ya sea a corto o largo plazo.

A problem-solving framework includes: 1. Define the Problem: Clearly identify the issue, its scope, and impact. 2. Gather Information: Collect data and insights to understand the problem thoroughly. 3. Generate Ideas: Brainstorm a range of potential solutions. 4. Evaluate Solutions: Assess feasibility, risks, and benefits of each idea, selecting the most promising one. 5. Implement the Solution: Develop and execute a detailed plan for the chosen solution. 6. Monitor and Review: Track implementation, review outcomes, and adjust as necessary. This structured approach ensures effective problem resolution.

It is a knowledge based methodical process wherein understanding of the ‘Concept’ is key to attainment. To elucidate, “Problem-solving Frameworks” are structured approaches that help individuals and teams tackle complex glitches in a systematic manner. Identification of right template to deal with the issue at hand is imperative to arriving at pragmatic solutions. Organizational policy parameters towards issue based situations are also important to be understood as these might prove to be limiting factors in free flow of problem resolution. Structured ‘Problem-solving Frameworks’ are available to pick and choose from to deal with and dispose of issue at hand.

In my experience, building a reliable problem-solving framework is essential for consistent results. The process begins with clearly defining the problem—getting to the heart of what really needs solving. Next, I gather information from all relevant sources, pulling together insights and data to fully understand the challenge. With a good grasp on the situation, I brainstorm potential solutions, considering various angles and approaches. Once I've identified the best solution, I implement it carefully and monitor the results closely. Finally, I review the outcomes to learn from each experience. This methodical approach continuously enhances my skills and strategies, turning every challenge into a valuable opportunity for growth.

It makes sense to check with others and past learning’s from similar problems and their solutions to understand how effective the current solution can be and fine tune it. Don’t reinvent the wheel as they say. If someone has faced a similar problem in the past, there is already a solution. Last but not the least, you decide the best course of action as the data and other inputs are to help you come to the right decision but you are the ultimate decision maker!!! Happy problem solving ??

Contingency planning is another component that might be considered. It focuses on identifying potential risks, assessing their impact and likelihood, and prioritizing them accordingly. This involves developing effective preventive measures, reactive response plans, and alternate strategies adapted to various scenarios.