From Lab to Living Room

 

Our aim is to bridge the gap between science and practice. We’re working to bring the best of behavioral science to as many people as possible.

 

Scientific Roots

 

Our programs are primarily based on research in positive psychology, social psychology, and behavioral economics. We also draw from neuropsychology, evolutionary psychology, organizational psychology, and developmental psychology in our work.

 

We approach change from a complex systems perspective, which recognizes that human beings are made up of many interacting factors.

 

 

Events as Experiments

 

Every event we host is an experimental intervention designed for maximum positive outcomes. We generally take baseline and follow-up measurements, minimize potential confounds, and publish our findings.

 

We keep a pulse on the latest peer-reviewed research and regularly incorporate new findings into our work.

 

We’ve conducted dozens of pilots for some of our events, although much more is to be done. Future studies will include randomized controlled trials and cross-cultural assessments.

 

We intend to eventually submit our results to academic journals for peer review and publish technical and consumer-friendly write-ups.

 

Open Science

 

We believe in open science. We are working to make every step of our research is as transparent as possible: we post the materials we use, make our deidentified data available, follow established ethics and integrity protocols, and publish our findings so anyone can view them.

 

We are deeply open to feedback about potential errors and insight into how our research can improve. Collaboration yields better results.

 

We invite you to “check our math” and confirm for yourself that what we do is effective. This is rarely done in the business world, but perhaps should be.

MEASUREMENT MANIFESTO

Introduction

What gets measured gets managed.” — Peter Drucker

A huge personal growth industry has sprung up to help you live your life. Some companies are great at what they do; some are not. It’s extremely hard for anyone to know the difference between the two. Good data can help with that problem.

You deserve more

Many personal growth companies suggest their products and services are effective by offering glowing testimonials, cherry picked from their best participants, readers, and clients. Unfortunately, anecdotes are not good evidence. They tell you very little about the actual effectiveness of the product or service.

Show me the data!

We offer a simple question for you to ask any company before you buy: May I see your data? Ask to see scientifically-valid outcome data from everyone that profits from helping you grow. This includes us. Find out what actually works; ignore what doesn’t.

Measuring 101

How do you know how much you actually grew from that workshop you took or book you read?

To find out, you’ll need:

A baseline measurement. On day 1 how much did you weigh? How much money were you earning? How many dates were you getting?

follow-up measurement. After 12 months how much did you weigh? How much money were you earning? How many dates were you getting? What’s the story after 2 years? 3 years? 5 years? Longer?

Changing the world

We’ll be happy to lead the way. We believe in  honestly and humbly sharing all results, even if they aren’t flattering. We’d rather shut Self Spark down than mislead anyone about our effectiveness.

We hope others in the industry will also heed this call. If this happens, we will have changed millions of lives. But it will only work if you are prepared to say, “Show me the data!”

DATA

Explore our Data Sandbox to see some of the outcome data we’ve collected on our programs. Note: currently you will need to email us to see all datasets.

 

If we succeed in helping people change, we publish it. If we fail, we publish it and ask for your insight on how we can do better next time.

 

If you conduct an event, please contribute your dataset. We will publish it as well.

 

Please note our early datasets were particularly weak due to low sample sizes, lack of controls, and other factors. As we go forward we will take much more care collecting, analyzing, and publishing our outcome data. Help us do this better.

 

We also fully recognize that everyone is different and that what works for one person may not work for another. These data are not meant to “guarantee” that anything will work for you in particular. We are not trying to draw definitive conclusions on our outcomes yet.

 

Note: We are updating the datasets and transferring to Open Science Framework