Chris Hare

So if I had said, hey, this is truth, or if you'd had 50 people that were also saying, and I actually did have other people say similar things that would have kept my client embracing the wrong narrative. And so I think we just have to be careful and think about them in terms of these are inputs, but we need to synthesize them and frame them up against that future that we want to create.

So if I had said, hey, this is truth, or if you'd had 50 people that were also saying, and I actually did have other people say similar things that would have kept my client embracing the wrong narrative. And so I think we just have to be careful and think about them in terms of these are inputs, but we need to synthesize them and frame them up against that future that we want to create.

And I'm curious, so what was your conclusion based on all of that input in terms of what your superpower is?

And I'm curious, so what was your conclusion based on all of that input in terms of what your superpower is?

Yeah, I think what's coming to mind as you're saying that, too, is there's what's also challenging. So the work that I'm doing is very like it's very unstructured data, right? Like it's based on a conversation. And it's also part of it is reading the energy of the person and the stories that they're telling. And for example, although I think it would be good to introduce this as well.

Yeah, I think what's coming to mind as you're saying that, too, is there's what's also challenging. So the work that I'm doing is very like it's very unstructured data, right? Like it's based on a conversation. And it's also part of it is reading the energy of the person and the stories that they're telling. And for example, although I think it would be good to introduce this as well.

here's 10 questions, answer A, B, and C on each one of them. But in terms of the inputs with these conversations, it can be 100 to 150,000 words from these interviews. You also introduced the challenge of

here's 10 questions, answer A, B, and C on each one of them. But in terms of the inputs with these conversations, it can be 100 to 150,000 words from these interviews. You also introduced the challenge of

When you're interviewing these people, you also like we unknowingly put weight on more weight on some people's opinions than others, whether it's because of the friendship or the level of friendship or whether it's because of the position they have or the power that they have or their role that they've had. Right.

When you're interviewing these people, you also like we unknowingly put weight on more weight on some people's opinions than others, whether it's because of the friendship or the level of friendship or whether it's because of the position they have or the power that they have or their role that they've had. Right.

So like Jonathan Adler, he teaches at Department of Psychology at Olin College of Engineering and then also Harvard Medical School. He talks about the fact that if I'm telling you a story, if we had our cameras on right now, I'm never telling the same story twice.

So like Jonathan Adler, he teaches at Department of Psychology at Olin College of Engineering and then also Harvard Medical School. He talks about the fact that if I'm telling you a story, if we had our cameras on right now, I'm never telling the same story twice.

I'm rewriting the story as I'm telling you based on your face, how your facial expressions, your body language, your tone of voice, the fact that you say something, the fact that you don't say something, right? So there's all those factors that play into it that make it incredibly complex, right?

I'm rewriting the story as I'm telling you based on your face, how your facial expressions, your body language, your tone of voice, the fact that you say something, the fact that you don't say something, right? So there's all those factors that play into it that make it incredibly complex, right?

Yeah, exactly. Because I've seen, if you looked at the transcripts from some of my interviews, if a machine were to read it, there's nothing there. They were just saying something, talking about some interaction they had in an office that was incredibly minor. Therefore, it's not important.

Yeah, exactly. Because I've seen, if you looked at the transcripts from some of my interviews, if a machine were to read it, there's nothing there. They were just saying something, talking about some interaction they had in an office that was incredibly minor. Therefore, it's not important.

But if you were to see the person and see their smile or see the light in their eyes that shifted or hear the rise in their energy, that's a clue that the machine would not have picked up, right?

But if you were to see the person and see their smile or see the light in their eyes that shifted or hear the rise in their energy, that's a clue that the machine would not have picked up, right?

I love it. Thank you. Thank you so much for having me. This has been amazing. Amazing conversation. The questions you ask are extraordinary.

I love it. Thank you. Thank you so much for having me. This has been amazing. Amazing conversation. The questions you ask are extraordinary.