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The Frequency x Intensity Framework: how to know what matters most

March 25. 2026 · 7 min read

Superhuman had a problem. Their product-market fit score was 33%. Sean Ellis says 40% is the threshold. Below that your product is in danger.

They did not build more features. They did not redesign the UI. They segmented their user feedback by FREQUENCY. How many people said they would be “very disappointed” if Superhuman went away? Then they focused only on converting the “somewhat disappointed” group.

Their PMF score went from 33% to 58% in three quarters.

They did not listen to everyone equally. They counted. They ranked. They prioritized. That is the difference between drowning in feedback and using it.

Most copywriters collect voice of customer data. Few know what to DO with it once they have it. You end up with 80 quotes in a doc. All of them feel important. None of them feel like THE lead message.

The Frequency x Intensity framework fixes that. Here is how it works.

Why frequency alone is not enough

This is the mistake. You collect 80 quotes. You count how many times each pain point appears. “Too expensive” shows up 12 times. “Takes too long” shows up 8 times. “Lost my data” shows up 3 times.

So you lead with “too expensive.” Right?

Not necessarily.

Research from the Kano Model (developed by Noriaki Kano in 1984) shows that frequency of mention does NOT always equal importance. MIT professor John Hauser studied this gap and found that customers mention certain topics often without those topics being proportionally important to their buying decision.

“Too expensive” shows up 12 times. But the words people use are mild: “a bit pricey.” “Not cheap.” “Wish it cost less.”

“Lost my data” shows up 3 times. But the words are: “NIGHTMARE.” “I am missing 2 years of work.” “I felt panic reading this.”

3 mentions. But the INTENSITY is extreme. That changes everything.

Jakob Nielsen identified this in 1994 at the Nielsen Norman Group. His severity rating for usability problems uses three factors: frequency. Impact. And persistence. Not just how often something comes up. How MUCH it matters when it does.

The voice of the customer framework: Frequency x Intensity

Here is the framework. Two numbers. One multiplication.

Frequency = how many unique sources mention this pain. Not how many QUOTES. How many SOURCES. If 8 different people on 8 different platforms mention the same pain that is a frequency of 8. One person ranting 5 times about the same thing is a frequency of 1.

Intensity = how strong the emotion is when they mention it. Rate it 1-4:

1 = Low. Mild inconvenience. “It would be nice if...” “Not ideal.”

2 = Medium. Clear frustration. “This is really annoying.” “I wasted hours on this.”

3 = High. Anger or strong emotion. “Exhausting.” “Nightmare.” “I hate this.”

4 = Extreme. Life-altering language. “I lost 2 years of work.” “This is predatory.” “Bordering on fraud.”

Priority = Frequency x Intensity.

“Too expensive” = 12 mentions x 1.5 intensity = 18.

“Lost my data” = 3 mentions x 4 intensity = 12.

“Takes too long” = 8 mentions x 3 intensity = 24.

“Takes too long” wins. Not because it was mentioned the most. Because the COMBINATION of frequency and intensity is highest. That is your lead message.

How to apply this to your voice of customer data

You already have your 40+ quotes from the 30-minute voice vault method. Now do this:

Step 1: Group quotes by theme. Read through all your quotes. Group the ones that describe the same pain or desire. You will end up with 8-15 themes. Research from Guest et al. (2006) found that 70% of all themes emerge from the first 6 sources. By 12 sources you have 92% of all themes.

Step 2: Count frequency per theme. How many UNIQUE sources mention this theme? Not total quotes. Unique sources. A pain mentioned by 8 different people on 8 different platforms is more reliable than one person complaining 8 times.

Step 3: Rate intensity per theme. Read the quotes in each group. What words are they using? Mild words (“annoying”) = low intensity. Extreme words (“nightmare” / “predatory” / “lost everything”) = high intensity.

Step 4: Multiply. Frequency x Intensity = Priority score. Rank all themes by this score.

Step 5: Your lead message is the #1 theme. The highest priority score = your headline. Your opening line. Your hero section. The thing you LEAD with.

Momoko Price from Kantan Design teaches a similar approach in her CXL course: “Tally up the severity and frequency scores and use those to come up with the best unique value proposition.”

Jen Havice in Finding the Right Message does it with six categories: Struggle. The Fix. Hesitations. Awareness Level. Differentiators. Success. Her “Hesitations” category maps directly to building an objection playbook. She frequency-ranks customer language within each category. Then selects the top 10 quotes that are “insightful and well summarized and when customers are excited about something.”

Different names. Same principle. Count. Rate. Multiply. Lead with the winner.

A real example from the data

We ran a Brevvi research brief on voice-of-customer tools for copywriters. 65 sources. Here is what the Frequency x Intensity framework produced:

#1: Manual research takes too much time. Found in 8 of 65 sources (12%). Intensity: EXTREME. Words used: “exhausting.” “Marinating in complaints until patterns emerge.” “I literally block off a whole day.” Score: 8 x 4 = 32.

#2: Existing tools cost too much. Found in 6 of 65 sources (9%). Intensity: HIGH. Words used: “five and six figures.” “Pricing shock.” “Very expensive.” Score: 6 x 3 = 18.

#3: Research data is scattered everywhere. Found in 9 of 65 sources (14%). Intensity: HIGH. Words used: “Google Docs. Notion pages. Random PDFs. Zoom recordings. Loom links. Email threads. And then I am supposed to magically remember where that one killer quote came from.” Score: 9 x 3 = 27.

Without the framework you might lead with #3 (highest frequency at 14%). With the framework you lead with #1 (highest score at 32) because the INTENSITY of the time pain is extreme. People are not mildly annoyed. They are exhausted.

That changes your headline. Your hero copy. Your entire positioning.

Why this voice of the customer framework matters for copy

Peep Laja from CXL said: “The biggest mistake in CRO is jumping straight to A/B testing without first understanding WHY visitors are not converting.”

The Frequency x Intensity framework tells you the WHY. It tells you WHICH pain to lead with. WHICH desire to promise. WHICH objection to address first.

Without it you are guessing which quote from your voice of customer sources should become your headline. With it the DATA tells you.

The complete 7-step voice of customer research process covers how to collect the quotes. This framework tells you what to do with them once you have them.

Count. Rate. Multiply. Lead with the winner.

That is the entire framework.

P.S. Brevvi ranks every pain point by frequency AND intensity automatically. No manual counting. No spreadsheets. The framework runs itself. Run your first one free at brevvi.ai