






Generate support by involving participants in thinking about possible solutions
Get a deep and nuanced insight into the views and ideas of a large group
Anonymity creates a safe space where participants dare to be open, even about sensitive topics
Let a group generate ideas and evaluate each other's ideas
Participants write one or more answers to the question
Messages are shared with other participants
High-voted messages go viral
Uses “+” to nuance other users' messages
Whether you're shaping company culture, developing strategy, or influencing policy, our platform is suited to meet your unique needs.
In the Synthetron software, all written messages must be evaluated by other participants. The messages are first sent to 4 other participants; if they strongly agree, the message goes' viral 'to other participants in steps.
Because participants review each other's messages, they provide each other with answer options, so you get a much more complete picture than with ordinary open questions in a survey.
In almost all dialogues, there are things that are not easy to say. Maybe because they're critical, controversial, or just feeling a little bit embarrassing. We know from experience that anonymity improves the truth and depth of dialogue.
Absolutely! Synthetron is a global platform that supports multi-language dialogue. Currently, our platform is available in the following languages:
- English
- Spanish
- Dutch
- French
- German
- Danish
- Polish
- Italian
- Russian
We've had discussions with 6 participants, but they work best if you have more. 30 is a good minimum number to aim for, although smaller groups also make sense when discussing sensitive topics.
We do not store any personal information. For our software to work, we generate a unique ID for each user that is completely random, and we store a cookie on your device. This is to ensure that if you lose the connection, you can pick up where you left off.
All participants receive a random identification code by the system. We don't know who someone is. What we do know is what each code number (a single anonymous participant) did, so we can look for patterns related to segments.
