Set SMART goals aligned with project objectives. Communicate these clearly, ensuring team buy-in. Embrace flexibility and ongoing feedback for adaptability. Involve team members collaboratively to enhance indicator robustness, fostering a dynamic and responsive process integral to organizational success.

Setting clear goals and indicators is crucial for collecting and analyzing performance data with team members. Define specific, measurable, achievable, relevant, and time-bound (SMART) goals that align with the team's objectives. Identify key performance indicators (KPIs) that track progress towards these goals, such as productivity metrics, quality standards, or customer satisfaction scores. By establishing clear expectations and metrics for success, you provide a framework for data collection and analysis, enabling meaningful insights into team performance.

Here are some effective strategies for collecting and analyzing performance data with team members: Before to begin: Set clear goals and indicators Communicate the purpose and value Choose appropriate methods and tools Self-assessments Peer reviews Customer feedback Surveys Reports and data dashboards Involve team members in the process Data analysis: Use both quantitative and qualitative data Analyze data collaboratively Focus on actionable insights Communication and follow-up: Present and discuss the results Use data to inform decision-making Review data regularly

Primeiro devemos definir KPIs que sejam possíveis de alcançar alinhado com os objetivos que gerem valor para a estratégia do negócio.

Choosing appropriate methods and tools is essential for collecting and analyzing performance data effectively with team members. Select methods that align with your team's workflow and preferences, such as surveys, interviews, focus groups, or automated data collection systems. Utilize tools that facilitate data collection, storage, and analysis, such as project management software, data visualization tools, or specialized performance management platforms. Ensure that chosen methods and tools are user-friendly, accessible, and capable of generating actionable insights to drive continuous improvement within the team.

Choose the best tools and ways to collect info with your team. You can use surveys, talk to people, or just watch what happens. Put the info into computer programs or spreadsheets to figure it out. Pick what works for your goals, time, and money, and what your team is good at. Make sure everyone knows how to use the tools by giving them some training and support. This way, you collect and understand info in a smart and team-friendly way.

Choose the best tools and ways to collect info with your team. You can use surveys, talk to people, or just watch what happens. Put the info into computer programs or spreadsheets to figure it out. Pick what works for your goals, time, and money, and what your team is good at. Make sure everyone knows how to use the tools by giving them some training and support. This way, you collect and understand info in a smart and team-friendly way.

Temos varias possibilidades no momento de escolher as ferramentas apropriadas para analisar dados, tudo deve ser desenhado de acordo com o propósito da analise, seja ela quantitativa ou qualitativa. O mais importante nesse momento é entender a melhor maneira de coletar o dado de forma mais correta e entender maneiras de mesclar os dados para extrair o melhor indicador possível para direcionar os negócios. Em minhas experiencia os mais utilizados são para pesquisas e entrevistas é o Forms do google e para consolidar os dados é o Excel e Power BI.

Para que ter uma equipe engajada no processo de analise e coleta de dados é necessário que todos na organização estejam cientes da missão, visão e valores, desta forma um brainstorm é muito valido para que em conjunto sejam definidos quais os dados são importantes para direcionar os negócios na direção correta.

Make data collection a team effort. Encourage everyone to share thoughts, experiences, and questions. Appreciate their input and provide constructive feedback. This collaborative approach boosts team engagement, ownership, and trust, ensuring more reliable and valid data. It transforms data collection into a shared journey, strengthening the team's connection to the process and its outcomes.

Neste momento é importante apresentar os dados de maneira visual e clara, apresentando os resultados com comparando com períodos anteriores ou informações de mercado. Entendo ser importante para que uma apresentação de resultado se sustente, que seja seguido na analise de dados o ciclo DMAIC (Definir, Medir, Analisar, Melhorar, Controlar) ou seja, depois de toda a analise de dados construída em equipe e medição da forma correta e clara para todos, temos que apresentar o resultado com insights para melhoria e propostas de como controlar e medir as tomadas de decisões.