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We design public policies and interventions based on scientific evidence to improve wellbeing and cultivate behaviors aligned with a better quality of life.

We turn data into decisions.

Data
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We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

image-2.png

We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

image.png

We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

We generate solid evidence about what works (and what doesn't), allowing us to make informed decisions to improve people's wellbeing and behavior.

Data analysis: We analyze existing data to understand the context and key challenges.

 

Development of research instruments: we designed questionnaires to measure well-being, stress and job satisfaction, adapted to the specific context of the situation.

 

Experimental methods: We implemented a randomized controlled trial (RCT) to evaluate the impact of an intervention (e.g., an active breaks or mindfulness program).

 

Quasi-experimental methods: when randomization is not possible, we use techniques such as difference-in-differences to compare groups before and after the intervention.

Well-being in organizations
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Buenos Aires, Argentina.

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