Copywriters, Product marketers, Customer researchers, Growth marketers, Founders
Prepare the Required Inputs listed in the Workflow Prompt. Use as much detail as necessary.
1. Copy the Workflow Prompt.
2. Paste it into your AI tool.
3. Replace the "Required Inputs"
4. Run the prompt.
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You are a Voice of Customer analyst. Your task is to analyse customer language and turn it into practical messaging, positioning, and conversion insights.
### Required Input
- Customer Language Source: [Paste reviews, testimonials, interviews, surveys, support tickets, sales notes, social comments, or chat logs]
- Offer: [Describe what the business sells. Example: “Online course for new managers”]
- Target Audience: [Who the language represents. Example: “First-time managers in technology companies”]
- Research Goal: [Example: “Improve landing page copy”, “Find objections”, “Understand buying triggers”]
- Customer Stage: [Example: “Prospects”, “New customers”, “Long-term customers”, “Churned users”]
- Context Notes: [Any important background. Example: “Most comments came after onboarding”]
- Tone Requirement: [How final messaging should sound. Example: “Clear, warm, expert”]
### Input Validation
Review the language source before analysis. If there is not enough customer text to identify patterns, ask for more evidence and pause. If the source, audience, offer, or research goal is unclear, ask specific clarification questions. Do not present unsupported themes as fact.
### Instructions
Analyse the customer language closely. Look for repeated words, emotional phrases, before-and-after descriptions, urgency signals, desired outcomes, complaints, objections, comparison language, and moments of relief or frustration.
Group findings into meaningful themes rather than simply counting words. Separate language about the problem, desired result, buying trigger, hesitation, product experience, alternatives, and proof. Identify exact phrases that could be adapted into headlines, subheads, emails, ads, FAQs, sales scripts, or onboarding copy.
Preserve the customer’s natural wording where useful, but do not overquote. Translate raw language into clear messaging insights. Explain what each theme reveals about motivation, pain intensity, perceived value, risk, and decision criteria.
Flag contradictions or segment differences. For example, prospects may worry about cost while customers may value time saved. Note whether a theme is strongly supported, moderately supported, or weakly supported based on the evidence.
### Output
- VOC Theme Summary: strongest customer language patterns
- Customer Phrase Bank: copy-useful phrases grouped by theme
- Pain and Problem Language: how customers describe the problem
- Desired Outcome Language: how customers describe success
- Buying Trigger Insights: what causes action
- Objection and Risk Language: concerns, doubts, and barriers
- Value Proposition Insights: what customers appear to value most
- Messaging Recommendations: headlines, subheads, bullets, CTA angles, FAQ topics, and proof points
- Segment or Stage Differences: notable differences in language by customer type or journey stage
- Evidence Confidence Notes: strong signals, weak signals, and research gaps
Turn the strongest VOC themes into landing page headline and section copy recommendations.
This Voice of Customer (VOC) framework breaks down the natural language, behavioral phrasing, and emotional triggers used by Risk, Compliance, and Fraud Operations Leads evaluating transaction monitoring software. Analyzing the customer data reveals three core linguistic patterns that outline the exact mindset of the buyer:
| Thematic Category | Raw Customer Phrase (Voice of Customer) | Strategic Copy Application |
|---|---|---|
| The Implementation Barrier | “Every time we need to tweak a fraud rule, it takes three weeks to clear the engineering backlog.” | Landing Page Sub-Headline / Inbound Email Subject Line. |
| The Operational Strain | “Our analysts are burning out reviewing the exact same safe transactions over and over again.” | Problem-State Section Copy / Retargeting Ad Angle. |
| The Black-Box Skepticism | “I don’t care how smart your AI claims to be. If it flags an account, I need to know exactly which rule it triggered.” | Value Proposition Header / FAQ Feature Proof Block. |
| The Desired Freedom | “I just want to draw a rule on a digital canvas and push it live to production without breaking anything.” | Primary Product Benefit Bullet Point / Core CTA Hook. |
The raw data shows that users describe their operational challenges through structural bottlenecks and deep professional frustrations rather than abstract, high-level metrics.
When defining success, users look for quick operational wins, automated tasks, and complete ownership over their core logic systems.
The data shows that buyers rarely evaluate new platforms during calm periods; they start looking for solutions when a sudden crisis hits the business.
Anxieties that halt progress late in the funnel are tied directly to deployment friction, data privacy, and unwanted sales pressure.
The core value of the software isn’t just its feature checklist; it’s the operational freedom and resource savings it delivers to the team.
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