FEATURE DISCOVERY

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With Frank, every interaction with a feature becomes a conversation — revealing how users use it, where they struggle, and what needs to change.
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Trusted by 1,000+ industry-leading brands

Say Goodbye to Feature Discovery Pains

What you're dealing with
“We see feature usage… but don’t know why people use it or ignore it.”
“We shipped a feature, but adoption is lower than expected.”
“Analytics show drop-offs, but not the friction behind them.”
“Feedback is scattered and hard to turn into clear action.”
The Frank Solution
Frank interviews users after they interact (or don’t), uncovering motivations, confusion, and intent.
Talk directly to users who didn’t use it — and understand what stopped them.
Frank captures real-time feedback on usability issues, confusion, and unmet expectations.
Insights are automatically structured into themes, patterns, and opportunities you can act on immediately.

How Frank Runs Feature Discovery

1. Define Feature Touchpoints

Choose when to trigger interviews — after feature use, repeated use, non-use, or drop-off moments.

2. Capture Real User Experience

Frank runs short, natural conversations with users about how they experienced the feature — what worked, what didn’t, and why.

3. Turn Usage into Insight

Every response is analyzed and grouped into clear themes, showing friction points, drivers of adoption, and opportunities to improve.

What You’ll Learn

More AI customer interviews should not mean more work. Frank is like a helpful teammate that knows the answer… just ask him via chat, and he’ll resolve all of your customer doubts in seconds!

faq

Have questions? We have answers

Want to know more? You can email us anytime at support@hifrank.ai
Right after a user interacts with a feature — or when they don’t. Both are equally valuable.

Yes. Customers speak naturally, just like in a real interview, and the AI listens, asks follow-ups, and digs deeper. In many cases, people are even more direct with AI, which leads to higher-quality data.

Yes. You can trigger interviews based on behavior, usage patterns, or user type.

During setup, you define your purpose, needs, and goals. Frank AI then suggests key topics and, drawing on thousands of past interviews, guides the conversation while subtly digging deeper.

It complements it. Frank captures real-world usage feedback at scale, not just controlled test scenarios.

Surveys are static and can’t capture emotions, excitement, or frustrations. AI interviews are dynamic, probing further, clarifying answers, and reducing bias. You don’t just get better responses, you uncover the emotional “why” behind customer behavior.

What if users only interact briefly with the feature?

Even short interactions provide valuable insight — especially around first impressions and confusion.

Can I use this for newly launched features only?

No — it works for both new and existing features, especially when optimizing adoption.

How quickly can we act on the insights?

Immediately. Insights are structured and summarized in real time.

Shipping features is step one. Understanding them is what drives growth.

Start turning usage into insights