Reveal AI

Customer research, at scale.

[Zach Wright @zachswrong]

Latest episode of The Insights Innovators ft Josh Fryszer 🔥

This episode is full of actionable takeaways for researchers & GTM teams alike, including:

🤖 How Josh is using AI to go from 0 to 1 in his research process
🤝 Creating buy-in for customer research programs
📈 Fueling sustainable business growth through customer research

Full episode on the @getrevealai YouTube channel (link in comments)👇

#marketresearch #ai #marketing #productmarketing

[Reveal AI @GetRevealAI]

Major pain points for research teams in 2024:

💨 Research must move at the speed of today's business.

⚒ Non-researchers need tools to do their own primary research.

🔎 Missing out on insights is a major pain.

🤝 Connect research to business results to get buy-in.

What else?

[Reveal AI @GetRevealAI]

Full episode: https://t.co/Fu5yAagGKy

[Reveal AI @GetRevealAI]

Survey writing, research enablement, & the (over)hype behind NPS - these are just a few of the topics we covered on our latest podcast with Bianca Johnston!

Full episode on YouTube (link below) 👇

#mrx #marketresearch #marketing

[Zach Wright @zachswrong]

Here's the vision we're crafting for @GetRevealAI and how we're fundamentally changing the way businesses engage with customers.

The Current Paradigm

Businesses and brands over-rely on quantitative metrics when it comes to customer feedback. Surveys, NPS, and web analytics are used to stich together a picture of customer preferences, pain points, and attitudes.

At best, these metrics give us a partial picture of our customer. While these metrics can be great at telling us what a customer is thinking, they typically don't tell us why.

And yet, we over-index on these metrics because quantitative metrics are the easiest to measure at scale. By only picking this low hanging fruit, we end up with sub-par customer insights, and as a result, sub-par customer satisfaction.

The Emerging Qualitative Paradigm

Our current tools aren't set up to analyze qualitative feedback at scale; "qualitative analytics" seems like a misnomer when you think about it from a traditional standpoint.

It's like asking someone to use a ruler to measure what color an apple is; the tools are fundamentally mismatched to the job to be done.

This is why gathering qualitative feedback has always been an activity that doesn't scale: interviews and focus groups provide deep insights, but you can only reach a relatively small number of people with these methods. And, making sense of large amounts of verbatim feedback has, historically speaking, sucked.

The emergence of LLM's and generative AI has changed this; now, we can gather and analyze rich, qualitative feedback at scale.

This changes everything.

RevealAI and The New Qualitative Paradigm

We're enabling businesses to capture human feedback, wherever it happens.

We do this through:

- One-on-one interviews, conducted by AI

- Product & platform integrations; capture free-responses in form fills, onboarding flows, or anywhere else in your product

- Bespoke customer experiences; build personalized, authentic brand experiences to engage your customers and capture their verbatim feedback all the way through

- Robust analysis capability; take thousands of verbatim customer responses and analyze them in a simple dashboard

We're enabling a new paradigm in harnessing human-driven feedback, at a scale that was previously impossible.

From data, to dialogues.
From statistics, to stories.
From numbers, to narratives.
From metrics, to motivations.
From clicks, to conversations.

The paradigm shift is here, and I couldn't be more excited to help bring a modern, human-centered feedback experience to today's businesses, brands, and creators.

Tap in with me to follow along and learn more about the new paradigm in human-driven feedback.