
AI-driven empowerment
We use AI to enhance the effectiveness of our feedback and simulation tools.
One of the most significant advancements is the use of AI to provide customized recommendations on specific actions and behaviors for individuals or teams.
These tailored recommendations, which previously required the involvement of experts such as coaches or business partners, can now be fully automated by AI, resulting in substantial savings of time and resources.

Our-Mix and match approach to AI
Given the rapid evolution and competition among AI services, we have adopted a
“mix-and-match” approach that allows us to leverage the most current and effective technologies at any given time.This flexible architecture enabled us to swiftly upgrade our services from OpenAI’s ChatGPT
4.o to Anthropic Claude Sonnet 3.5 when it proved more effective for certain AI
tasks. Similarly, as voice-based conversational AI matures and gains user acceptance, we will integrate new AI services to continually enhance our offerings.
How AI helps upgrade the typical "assessment" value chain
Below a quick overview of some of the key AI based innovations that are enabling the GrowthDrivers suite and a few examples of how they add value.
Data collection
Conversational assessments
We use bots to ask intelligent follow-up questions that inspire respondents to share more detailed and useful insights. Also, bots present a user with a summary across different themes and allows the user to adjust before submitting.
Game-like assessments
Currently, most assessments are text based mixed with ratings. We are expanding the range of question types with more game-like experiences, such as “picture association” or “drag-and-drop exercises”. AI is used to formulate intelligent follow up questions that helps capture full insights from such exercises.Data analysis
Effective mix of qualitative and quantitative feedback
The first, and most important breakthrough for AI in this area are the ability to make sense of combinations of qualitative and quantitative feedback. This was simply not possible before AI, and this completely new ability has enabled us to “see the full picture” and use this insight in reporting.
From “reporting” to “recommending”
As we now have massively better tools to interpret complex data into insights, we can also take a step forward in our reporting: We can propose specific ideas, actions or questions to consider – to an extent that often competes well with what a trained coach can come up with (at a fraction of the cost).
Communication
Customized video reporting
This format allows us to effectively communicate the essence of complex feedback in 4-5 minutes, in a way that is easy to understand.
The adaptive architecture of the ACT platform allows us to customize not only the content but also the structure. This means that reporting to a high-performing team can be shorter because we can skip sections that are not important when feedback is very positive.
The production of AI videos is fully automated.Customized AI-based user support
After watching a feedback video and possibly browsing some detailed results, users often have questions. These questions may relate to the theories referenced, the process, or how to approach a sensitive or difficult problem in a team. In all cases, such questions can be directed to an AI bot, which can answer them within a few seconds.
Sustained impact
Adaptive nudging and follow up
Receiving meaningful feedback often raises motivation to take corrective actions or adjust behaviors. However, as we all experience, it can be challenging to stay focused on good intentions as our daily lives continue.
We use nudging to help individuals stay focused and motivated. This occurs in various forms, such as simple reminders, follow-up one-click questions, or an 8-week follow-up nudging flow.
Nudges can be sent via email or text messages, based on user preference.

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