MarTech Interview with Niklas Ingvar, Co-founder and Chief Product Officer @ Mentimeter

Niklas Ingvar, Co-founder and Chief Product Officer at Mentimeter highlights more on Mentimeter’s new GenAI capabilities while talking about the importance of live polls and interactivities when it comes to driving digital customer experiences:

Hi Niklas, tell us about yourself and more about your role at Mentimeter.

I’m the co-founder of Mentimeter, former Chief Product Officer, but today I’m an AI engineer. I’m using that product development experience to drive thought-leadership and practically explore how we leveraging the capabilities of Large Language Models into making meetings and classroom experiences more inclusive and engaging.

For the past 6 months, a big focus has been on the new AI Menti Builder, which allows our users to with a simple prompt, tap into the power of all our knowledge and best practices about facilitating productive sessions, and create high quality interactive meetings or classes.

We’d love to hear about Mentimeter’s new GenAI capabilities and how it helps enhance the meeting experience with interactivities.

With the AI Menti Builder, you can go from an agenda or idea to an interactive session with great questions in a matter of seconds.

But the most exciting thing about the feature is how it helps both beginners and experts.  Even the best presenters or facilitators or teachers forget the basics. It’s so unfortunate that so many presentations do not live up to the quality of the presenter themselves. Why is that? Because it’s easy, when we’re stressed, in a rush, to forget to follow the best practices we know – like asking what is the purpose of the session and designing around that. In the same way, we can help beginners go from blank slate to best practice structure and content, and through showing them what they need, they level up.

We actually had built a version of the AI Builder 3 months ago that we choose not to release. We felt that the underlying model from OpenAI (3.5) wasn’t good enough. Since then OpenAI released 4 and 4o and that has changed our ability to create a product that lives up to customer expectations and helps them.

3 months ago, AI was a gimmick. Now it adds value. That’s how fast AI is moving.

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How can modern B2B tech marketers capitalize more on live polls and quizzes to drive better web experiences and journeys?

Insights are everything. The AI Menti Builder is a fantastic way to get relevant questions quickly. Go from idea to input in minutes. But more and more, we need qualitative insights, not just quantitative. We all know that challenge after a collaborative meeting or workshop, being stuck with hundreds of post-its to document, summarise and interpret.
With Menti, we’ve made the first parts of this obsolete, by making the session digital and interactive, but then by using Generative AI, we also make the job of interpreting the qualitative data much easier, to get to insight faster.

What about today’s state of customer and marketing engagement needs a complete overhaul?

We see a real need for shaking up how companies do employee engagement. It’s about moving from passive participation to active involvement. Employees should feel like their voices are being heard, not just sitting through meetings.

When employees know how their work fits into the bigger picture, they’re more motivated. Regular, constructive feedback is essential, as it helps employees stay on track and feel valued. And, of course, good leadership and a transparent, trusting work culture are the bedrock of keeping everyone engaged and loyal.

And all these areas are really what we focus on when we enable our users to listen, learn and lead with curiosity in meetings and corporate trainings.

If you had to share three thoughts on the future impact of AI on martech and marketing: what would they be?

Here are three things I think are going to change how marketing professionals can really embrace AI and will shape work.

1. Managing complexity: Many companies are building AI co-pilots and companions. And while the idea is right, the technology isn’t there yet. Work has gotten more complex and AI, when it really can understand and interpret the context we humans find ourselves in, will be able to truly help us manage complexity.
2. Rapid A/B/C testing: AI is notoriously bad at being creative because it “predicts the next most likely thing” and gives you that, which is precisely the opposite of creativity. However once you have one of a thing, it’s powerful to develop variants quickly, which will help marketers test variants and the fine-tuning of ideas.
3. Productivity boost: Our view of AI is one of human-enhancement. What we mean is that AI isn’t in the near future going to replace our tasks. It’s just going to make us more productive as knowledge workers.

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