A new era for EX

Managing employee experience (EX) requires a scientific approach that uses proven behavioural science and psychometric techniques. Although many organisations have made significant investments in EX programmes over recent years, problems such as poor data quality, limited trust, lack of employee ownership and disappointing ROI continue to exist. 

Welliba has developed a completely new approach to managing EX. Below are key reasons why our approach can start a new era for EX.

A new and holistic model of EX

Most current EX models are outdated or incomplete. Our model defines employee experience as ‘how people experience their work and life, which is the result of the interaction between their characteristics and their environment’. Our research has uncovered the intrinsic drivers of EX (self-insight) and mapped external contextual boosters and blockers (context insight) that influence EX.

The Welliba Index monitors EX and tracks its evolution over time.

The Index is shaped by a combination of internal factors (12 dimensions linked to a person) and external factors (7 dimensions linked to context). Organisations can use their dashboard to get more detailed information on all the dimensions underlying the Index. This enables organisations to understand why their Index score is evolving, to predict how it will change in the future, and to develop people initiatives to manage these changes and improve EX in a given context.

For more detail, you can download our whitepaper here.

A new and holistic model of EX

Most current EX models are outdated or incomplete. Our model defines employee experience as ‘how people experience their work and life, which is the result of the interaction between their personal characteristics and their environment’. Our research has uncovered the intrinsic drivers of EX (self-insight) and mapped external contextual boosters and blockers (context insight) that influence EX.

The Welliba Index monitors EX and tracks its evolution over time.

The Index is shaped by a combination of internal factors (12 dimensions linked to a person) and external factors (7 dimensions linked to context). Organisations can use their dashboard to get more detailed information on all the dimensions underlying the Index. This enables organisations to understand why their Index score is evolving, to predict how it will change in the future, and to develop people initiatives to manage these changes and improve EX in a given context.

For more detail, you can download our whitepaper here.

Next generation measurement for highest quality data

Data can be collected via a traditional survey, or via the CadaMint process (continuous adaptive micro-interactions). This is a new scientific approach which uses micro-interactions to continuously collect data. Rather than collecting a lot of data at once and using that data for longer periods of time (like traditional surveys), the CadaMint approach constantly updates datasets by collecting more or newer data to measure what is happening.

EX fluctuates and is influenced by many conditions. Asking employees a few well-targeted questions per day, will provide additional insights. This helps organisations to better understand what is going on. CadaMint also makes it possible to give employees immediate insights into what is shaping their experience every day, along with advice on how to improve that experience.

We also use a modern and highly visual UX approach to motivate people to provide relevant answers. Personalised insights and advice are provided using these same UX techniques.

For more detail, you can download our whitepaper here.

A model of employee experience that is more conceptually complete because it includes the ‘self’, the context in which the ‘self’ works and lives, and the way self and context influence each other.

Becoming more user-centric by measuring employee experience as a subjective experience at the individual level and by targeting interventions based on individual needs.

Ongoing measurement using insights from research on persuasive technology and data privacy to improve data quality.