¿Cómo se puede identificar el agotamiento y la falta de compromiso del equipo a través de los datos de motivación?

Motivation has to be felt and has to be measured. - It can be felt through the energy employees demonstrate. -Their interaction during town halls and webinars. -How good they are at showcasing creativity and thinking out of the box or do they just follow what's said? -Do they refer their friends -Do they engage and comment on the LinkedIn post they are some subtle ways through which we can find if employees are motivated. - However, one important aspect of using engagement data is to check assumptions. For example, a colleague who isn't as smiley, may well be determined to achieve. Social cues that we assume indicate motivation may not always be the case. Some people "play the game" and look motivated without ever achieving hard work.

Team burnout is real, it's important to learn your employees. This can be accomplished by staying engaged by talking to them daily. This big part of my job was to periodically get up from my desk and talk to them find out what's going on. Most of the time they will tell you their stressors in the first 3 minutes. Stay in tuned with them as most employees want a supervisor, or leader to care. Try your best to work side by side with them and encourage them during that time. Yes it will push your back a bit but you will gain a more confident employee who won't need alot of reassurance the next time around. Lastly, always try to circle back to their struggles and we can make changes in the future.

Detecting team burnout and disengagement from motivation data requires a comprehensive approach. This involves surveys on job satisfaction, monitoring absenteeism, analyzing workload distribution, assessing work quality, observing communication patterns, and seeking employee feedback. Additional indicators include benefit utilization, performance metrics, peer relationships, EAP usage, turnover rates, and recognition systems. Integrating these diverse data points helps identify early signs and allows for timely interventions to enhance team well-being.

Based on my experience, while collecting motivation data is valuable, the key lies in interpreting and applying it effectively to identify and address team burnout and disengagement. Look for patterns and changes over time in individual and team performance and attitudes. Pay attention to subtle shifts in engagement, like decreased participation in meetings, drop in work quality or enthusiasm, or increased cynicism or frustration. Use the data not just to diagnose issues, but to initiate meaningful conversations with your team. Ask for their input on the implications and improvement ideas. This approach ensures an informed and empathetic response to burnout and disengagement, leading to more effective solutions.

This is interesting. Working part-time (0.5) in the education sector that is hugely regulated and with the marketisation of education you find that the motivation data tends to focus on the numbers of learners, number of those who have achieved on either non-accredited or accredited learning. In leading I find that it is not so much the numbers that motivate the tutors but the journeys and the stories of the learners. I was privileged to interview an older learner a few months back and his story of what the service meant and did for him was remarkable. Coming out of covid and going through mental health he said our courses and the tutors helped. We will use to the data to support the team with their wellbeing and support.

Identification des Problèmes : Elles aident à détecter les signes précoces de désengagement ou d'épuisement professionnel. Amélioration de la Performance : Ces données permettent de comprendre ce qui motive les employés, ce qui peut être utilisé pour améliorer la performance et la satisfaction au travail.

Motivation is more than felt. It can actually be measured and seen in action. However, one important aspect of using engagement data is to check assumptions. For example, a colleague who isn't as smiley, may well be determined to achieve. Social cues that we assume indicate motivation may not always be the case. Some people "play the game" and look motivated without ever achieving hard work. This is where motivation data needs to be carefully chosen. If you want your team to grow in relatedness, this may make the more introverted team members look demotivated - so consider which metrics will give you the outcome you are looking to show and cause.

Motivation data is crucial because it provides valuable insights into the underlying reasons and drivers behind human behavior. Understanding what motivates individuals helps in tailoring strategies, products, or services to better meet their needs, ultimately leading to more effective outcomes in various fields such as marketing, education, and psychology.

Its fairly crucial as it provides valuable insights into the factors influencing individual drive and performance, enabling tailored strategies to enhance engagement, productivity, and overall success in various contexts

The most common and easiest way to collect motivation data is by using a survey. However, we must be very careful on formulating the questions. We have to be clear on what information we want to know and we must avoid common mistakes on survey questions such as too much technical jargons, double barreled questions, and non-inclusive questions. Also, we can consider using other dialogic methods such as hosting a world cafe or organizing focus group discussions to capture a more personal response.

Motivation data can be collected through methods like surveys, interviews, focus groups, and observations. Surveys with well-crafted questions can probe individuals' motivations. Interviews and focus groups allow for more in-depth exploration. Observational studies involve watching and recording behavior. Combining these methods provides a comprehensive understanding of what motivates individuals in a particular context.

There are multiple affordable saas based employee engagement tools which can assist on the same. These can be complimented by running surveys

Enquêtes et Questionnaires : Utiliser des outils réguliers pour recueillir des feedbacks directs des employés. Entretiens et Réunions : Organiser des entretiens individuels ou des réunions d'équipe pour obtenir des retours qualitatifs. Analyse des Performances : Suivre les indicateurs de performance qui peuvent refléter la motivation, comme la productivité ou la qualité du travail.

Motivationsdaten können aus verschiedenen Quellen gewonnen werden, darunter Umfragen, Interviews, Beobachtungen, Selbstberichte, Leistungsdaten, Gruppenaktivitäten und Feedbackgespräche. Diese Methoden ermöglichen es, die individuellen Ziele, Werte, Interessen und Einflussfaktoren auf die Motivation zu verstehen.

Three hacks to help which you may not find many people advocating: 1. Know that your biases will play our hugely, no matter how much awareness you bring. 2. Develop multiple lenses, including personal, technical and systemic (think more about roles and role relatedness). 3. Because you are wedded to your project and/or data, invite other people to create hypotheses who don’t care as much as you do about what the data are saying.

Analyse Quantitative : Utiliser des outils statistiques pour analyser les données issues des enquêtes et des évaluations de performance. Analyse Qualitative : Interpréter les commentaires et les feedbacks pour comprendre les motivations sous-jacentes et les préoccupations des employés.

"Betroffene zu beteiligten machen". Wenn Auffälligkeiten beim Screening der Erfassungsdaten erkennbar werden, gilt es durch Einzelgespräche und/oder Teamworkshops mit und ohne die Führungskraft die auslösenden Faktoren herauszuarbeiten und spezifische Maßnahmen/Interventionen abzuleiten.

Motivation data is itself motivating. If you measure "quantity of learning interaction" then some colleagues will do lots of short interactions to build up their achievement score. By contrast, if you measure hours of learning, this may encourage colleagues towards more in depth courses and skills. By measuring data and letting colleagues know what you're looking for, you can encourage really strong behaviours in the team. Always communicate the big picture goal - for example, the culture you are looking to create. This helps to avoid a "target" mentality, where colleagues only think about hitting a goal.

Plan d'Action : Élaborer des stratégies pour augmenter la motivation, comme la reconnaissance, les opportunités de développement professionnel, ou l'amélioration de l'environnement de travail. Suivi Continu : Utiliser ces données pour suivre l'évolution de la motivation et ajuster les stratégies en conséquence.

It is important to distinguish between burnout (long time coming exhaustion on a mental, physical, emotional, and/or professional that requires chronic rest and sustained recovery) vs stress. To obtain motivation data around burnout would require a lengthy study of a group of employees, so it might be useful to identify raw data an organisation would already have (staff movement, turnover, KPI results, disciplinary action records, and so on) as part of the considerations. This way, while specific data to burnout might only be collected recently, there will be enough evidence to indicate trends and behaviours that relate to burnout and give insight into causes, catalysts, exacerbating circumstances, and/or improvements and positive changes.

As well as defining motivation data, it's important to define team burnout. Individuals can have burnout when they are tired, overworked and find the work less meaningful. While the same applies for teams, the shift towards burnout can be subtle. Some characters in the team have a greater influence than others and if they're feeling upbeat, they have the energy to carry the team. But on a bad day, they can become "mood hoovers" making it much harder to work and remain positive about the work at hand. Team burnout, therefore, is not as simple as individual burnout, and relates much more to the group's dynamics and how individually-motivated colleagues are functioning as a collective whole.

Ich persönlich halte von der Methodik den Einsatz von Tracking eigentlich für sehr geeignet, aber hier kommen die Perspektiven des Datenschutzes und der Betriebs-/Personalratsarbeit erschwerdend dazu. Über diverse Biofeedback-Daten würden sich Motivationslagen und Beanspruchungssituationen erkennen lassen, was aber letztlich sensible, personengenaue und gesundheitsbezogene Daten erzeugt. Zur Steuerung der Motivation und der Beanspruchungssituation von Einzelpersonen und Teams wäre es ein großer Vorteil für Führungskräfte.

Monitoring motivation data can be insightful for identifying team burnout and disengagement. Look for trends such as a decline in productivity, increased absenteeism, or a rise in errors. Analyze survey results, if available, focusing on responses related to job satisfaction and stress levels. Regularly check for signs of decreased enthusiasm, collaboration, and communication within the team. Engage in open communication with team members to understand their challenges and concerns. Combining quantitative and qualitative data provides a comprehensive view of team dynamics.

Culture d’Entreprise : La motivation est profondément influencée par la culture de l'entreprise. Il est crucial de créer un environnement où la communication, la reconnaissance et le bien-être sont valorisés. Individualisation : Reconnaître que chaque employé est unique et peut être motivé différemment. Intégration avec d'Autres Données : Combiner les données de motivation avec d'autres mesures comme la satisfaction client ou les résultats financiers pour obtenir une vision holistique de la performance de l'entreprise.