Frequently Asked Questions
Organizational Meteorology transfers knowledge from classical meteorology into the context of organizations. It involves capturing and measuring relevant parameters, understanding dynamic relationships, graphically and textually presenting findings, and predicting future states. The goal is to better understand the dynamics within a company and to steer changes deliberately.
Unlike traditional change approaches, Organizational Meteorology provides a deep understanding of dynamics and change, enabling predictions of future states. This is achieved through structured status quo analysis, fascinating perspective shifts, and visualization of current states and potential developments. This helps leaders make informed decisions and effectively engage employees in change processes.
Organizational Meteorology accurately describes the current state of a company and communicates it effectively. Through clear visualizations and well-founded future forecasts, leaders can make better decisions and involve their employees in change processes. It can establish early warning systems and identify risks and opportunities early on.
Like classical meteorology, Organizational Meteorology can only predict future states with limited accuracy and probabilities.
A combination of internal company data, feedback from employees and leaders, and external market data is used. These data are analyzed using AI-supported methods to create precise and meaningful corporate weather reports. This includes e.g. surveys, financial indicators, sick leave records, and market analyses.
Very scientific, as Organizational Meteorology combines scientific approaches from organizational science/system theory and meteorology. Data and factual knowledge are used to create well-founded analyses and forecasts. It’s not about fluffy clouds, but about solid data and facts that are systematically evaluated.
This depends on the question at hand. Often, survey results, sick leave records, financial indicators, employee turnover, and customer satisfaction are considered. Additionally, specific indicators may be included depending on the industry and company situation.
Not yet, but future developments in artificial intelligence (AI) could enable such models. Currently, models are developed based on experience and existing data to create forecasts and analyses.
AI supports data analysis and results visualization and will enable complex models in Organizational Meteorology in the future. AI can efficiently analyze large datasets and recognize patterns that might elude human analysts. This improves the accuracy and significance of the forecasts.
The results are presented graphically and textually to provide an easily understandable and illustrative representation of the current state and forecasts. This also includes corporate weather maps.
Both qualitative and quantitative methods are used. This includes statistical analyses, surveys, interviews, and observations, supplemented by AI-supported data processing.
Initial results are often visible within a few weeks, especially when short-term measures to improve the company weather are implemented. Long-term changes and the full impact of Organizational Meteorology usually become apparent within six months to a year.
Employees are actively involved through surveys, interviews, and workshops. Their feedback and perspectives are crucial for a comprehensive analysis and the development of sustainable measures.
For all larger social systems such as companies, authorities, and associations. Particularly dynamic industries such as technology, automotive, finance, energy, healthcare, and logistics benefit from it. Any company operating in a rapidly changing environment or with complex internal structures can benefit from this approach.
Principally for any size, although the added value becomes significant from a certain level of complexity (around 50 employees). Smaller companies can also benefit, especially through customized solutions tailored to their specific needs and resources.
Forecasts are based on probabilities and can be predicted with high but not absolute accuracy. Short-term forecasts are generally more accurate than long-term ones. The accuracy depends on the quality and quantity of available data as well as the analysis methods used.
Reports such as "Weather Satellite", "Weather Radar", and "Weather Station" offer different levels of detail for analyzing the current state of the company and forecasting future developments. These reports help make informed decisions and manage changes purposefully.
Inspiring keynotes and lectures to enthuse employees and support change processes. These events provide engaging impulses that convince even critical individuals and lay the foundation for sustainable success.
Multi-week programs combining specific organizational meteorological content, online enablement sessions, and practical tasks. These journeys offer immediate success with long-term and sustainable impact.
Engaging online courses that help leaders delve into specific topics interactively and practically. These courses offer intensive and practical training on topics such as crisis management, strategic planning, and change management.
Individual consulting, tailored training, and comprehensive enablement offerings to support specific challenges and develop leaders and teams. These services cover a wide range of topics, from team dynamics to executive level.
Customized programs like "Updraft", "Weather Change", and "Climate Change" support profound and sustainable changes within the company.
Attractive offerings for organizational and leadership development with various services and discounts. These models are tailored to different company sizes and enable continuous training and development.
Training courses offer comprehensive training on observing, analyzing, and influencing the company weather.
An initial meeting can take place within a few days. The start of the collaboration depends on the project scope. Flexibility and quick response are key aspects to meet individual needs.
Contact via the form on the website or send an email to info@orgmet.cloud. An initial non-binding conversation helps clarify specific needs and find the right solution.
Through studies in economics, business administration and organizational sciences with organizational psychology, long-term experience in change processes, and solid knowledge in meteorology. This may not always be the way, but it was for me. An interdisciplinary approach is essential to understand and effectively analyze the complex relationships within organizations.
Perhaps 80 % of the competence lies in organizational and systems science and 20 % in meteorology. This combination allows for considering both technical and human aspects of organizational development.
The opportunity to support companies in their change processes and help achieve sustainable and positive developments. The fascination for the dynamics in organizations and applying meteorological principles to these dynamics drive my work.
Challenges include collecting and analyzing comprehensive and often complex data, overcoming resistance within the organization, and accurately forecasting future developments. It is also important to identify and implement the right measures to achieve sustainable changes.
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