Templates · customer feedback and VoC data
Voice of Customer Template (free)
Structure your VoC data from interviews, surveys, and support channels into clear themes and actionable insights your team can actually use.
What is in it
Template components
Feedback Source & Context
Record where the feedback came from, the date, and any relevant context about the customer segment or touchpoint.
Example: Source: Post-onboarding survey | Date: June 2025 | Segment: SMB customers (under 50 employees) who completed setup within the first 7 days
Raw Feedback & Key Quotes
Paste the verbatim feedback or quote exactly as the customer said it, preserving their original language and phrasing.
Example: "I loved the onboarding checklist, but I had no idea how to connect my CRM — I spent two hours on it and still needed to contact support. The docs weren't clear at all."
Themes & Categories
Tag this piece of feedback with one or more recurring themes so you can group similar responses across all your sources.
Example: Themes: Onboarding friction, Documentation gap, Integration confusion | Sentiment: Negative | Priority: High | Frequency so far: 12 out of 40 responses mention integration setup
Recommended Action
Write one specific, owner-assignable action the business should take based on this feedback theme.
Example: Owner: Product + Docs team | Action: Rewrite the CRM integration setup guide with step-by-step screenshots and add an in-app tooltip at the connection step | Due: Q3 sprint planning
The template
The full template, ready to copy
Voice of Customer Template
1. Analysis Setup
Data source
[Voice of customer data from interviews, reviews, support tickets, and NPS comments]
Date range
[e.g. January 1, 2026 – March 31, 2026]
Analyst name
[e.g. Priya Shah]
Research question this analysis answers
[e.g. Why are customers choosing us, what frustrations are driving evaluation, and what language should we use in messaging?]
Tip: Define one clear research question before coding so your analysis stays focused on decision-making, not just collection.
2. Step 1 — Code Your Excerpts
Excerpt 1
"We switched after missing two enterprise follow-ups in one week. Our old system logged calls, sure, but nobody could actually hear the customer saying 'I'm ready to buy' unless they sat in on the call live."
switching trigger
current frustration
Excerpt 2
"Honestly, I don't need more dashboards. I need one place where I can pull the exact customer wording and hand it to product and marketing without cleaning it up for an hour."
desired outcome
language/vocabulary signal
Excerpt 3
"Your onboarding was the first time I felt like, okay, these people get what a lean team needs. We had tagged 40 comments and found three patterns before lunch on day one."
value moment
desired outcome
Excerpt 4
"We were using Notion plus spreadsheets plus a bunch of Slack threads, which worked until it absolutely did not. By the time we agreed on what customers were saying, the launch had already gone out."
current frustration
unmet expectation
Excerpt 5
"I looked at Gong and a couple of research repositories, but they felt built either for sales coaching or for giant UX teams. We wanted something lighter that still gave us evidence, not just vibes."
competitor mention
desired outcome
language/vocabulary signal
Excerpt 6
"Support kept hearing the same complaint, but there was no easy way to prove it quantitatively or qualitatively. I expected at least a basic way to cluster issues, and we just... didn't have it."
current frustration
unmet expectation
Excerpt 7
"The aha moment for me was seeing NPS comments and interview snippets side by side. Suddenly it wasn't 'anecdotal' anymore — it was the same pattern showing up everywhere."
value moment
Excerpt 8
"If I was describing this to my CEO, I'd say it's customer signal, not just feedback. That's the phrase that clicked internally and got everyone to pay attention."
language/vocabulary signal
Tip: A good code is specific enough to capture what the excerpt means, but broad enough that you can reuse it across many excerpts. Code the idea, not every tiny detail.
3. Step 2 — Group Codes into Themes
Tip: In Step 1 you move from excerpts to codes/tags. In Step 2 you move from codes/tags to broader themes that explain the pattern across many customer quotes.
Why Customers Choose Us
Customers choose the product when it helps them turn scattered feedback into clear, usable evidence quickly.
switching trigger · 1 excerpts
value moment · 2 excerpts
Current Frustrations
Current workflows are fragmented, slow, and make it hard for teams to align on what customers are actually saying.
current frustration · 4 excerpts
unmet expectation · 2 excerpts
Desired Outcomes
Customers want a lightweight way to organize qualitative feedback and share evidence across teams without extra cleanup.
desired outcome · 3 excerpts
Competitive Landscape
Buyers compare options based on whether they feel built for sales, research specialists, or lean cross-functional teams.
competitor mention · 1 excerpts
switching trigger · 1 excerpts
Customer Language & Messaging
Certain phrases resonate strongly and reveal how customers naturally frame the problem and the value.
language/vocabulary signal · 3 excerpts
desired outcome · 3 excerpts
4. Theme Summary Cards
Why Customers Choose Us · 3 total excerpts
Key insight: Customers adopt the product when they need fast, credible visibility into customer conversations without heavy process overhead.
Representative quote: "The aha moment for me was seeing NPS comments and interview snippets side by side. Suddenly it wasn't 'anecdotal' anymore."
Recommended action: Emphasize speed-to-insight and cross-source evidence in onboarding, sales demos, and homepage messaging.
Current Frustrations · 4 total excerpts
Key insight: Teams are frustrated by fragmented workflows that delay alignment and make recurring customer problems hard to prove.
Representative quote: "We were using Notion plus spreadsheets plus a bunch of Slack threads, which worked until it absolutely did not."
Recommended action: Build content and product experiences around replacing scattered tools with one shared source of truth.
Desired Outcomes · 3 total excerpts
Key insight: Customers want lightweight qualitative analysis that helps them extract wording, cluster feedback, and share findings quickly.
Representative quote: "I need one place where I can pull the exact customer wording and hand it to product and marketing."
Recommended action: Prioritize workflows that make quoting, tagging, and sharing insights frictionless for lean teams.
Competitive Landscape · 2 total excerpts
Key insight: Buyers evaluate the category by fit: they reject tools that feel too heavy, too sales-specific, or too specialized for larger teams.
Representative quote: "We wanted something lighter that still gave us evidence, not just vibes."
Recommended action: Position clearly against heavyweight alternatives and highlight fit for lean, cross-functional teams.
Customer Language & Messaging · 3 total excerpts
Key insight: Phrases like "customer signal," "exact customer wording," and "evidence, not just vibes" reflect high-value messaging language.
Representative quote: "If I was describing this to my CEO, I'd say it's customer signal, not just feedback."
Recommended action: Test customer-originated phrases in website copy, sales narratives, and internal positioning docs.
5. Analysis Wrap-Up
Top finding
[e.g. Customers buy when they can quickly turn messy feedback into credible, shareable customer evidence.]
Most urgent theme
[e.g. Current Frustrations]
Recommended next step
[e.g. Update homepage and sales messaging to emphasize speed-to-insight, evidence, and replacement of fragmented workflows.]
Share with (stakeholder)
[e.g. Head of Product, Head of Marketing, Customer Success Lead]
Date completed
[e.g. April 12, 2026]
Tip: End every VOC analysis with a decision-oriented recommendation so the work leads directly to product, messaging, or process changes.
How to use
How to use it
- Collect all your feedback in one place
Pull responses from your interviews, NPS surveys, support tickets, and review sites into a single spreadsheet or doc before you start tagging. - Fill in one row per response
For each piece of feedback, complete all four sections — source, raw quote, theme tags, and a draft action — so nothing gets lost or interpreted inconsistently later. - Group by theme and count frequency
Sort or filter your rows by theme tag to see which issues appear most often, then rank them by frequency and business impact to prioritize your response. - Share findings and assign owners
Present the top three to five themes to your team with supporting quotes, assign a clear owner to each recommended action, and set a follow-up date to review progress.
Filled in
What it looks like filled in
Integration Setup Friction
"Connecting my CRM took forever — the instructions assumed I already knew what I was doing. I almost gave up on the whole thing."
→ Rewrite the CRM integration docs with annotated screenshots and add a contextual in-app tooltip at the connection step before next sprint.
Slow Response from Support
"When I finally reached out to support, it took 36 hours to hear back. By then I'd already lost confidence that this tool was right for us."
→ Audit current support ticket SLAs, add a live chat option for onboarding-stage users, and set a target first-response time of under four hours.
Missing Reporting Features
"I can collect all this feedback but I can't export it into a format my VP will actually read — there's no executive summary view anywhere."
→ Add an exportable summary report view to the Q3 product roadmap and interview five power users to define the required format before design begins.
Or skip it
Why teams skip the template
Usercall reads the customer feedback and VoC data for you and drafts the themes, quotes and recommendations. See how qualitative analysis works.
- Tagging hundreds of responses by hand takes days
Manually reading, categorizing, and re-categorizing open-ended feedback across interviews, surveys, and support tickets is time-consuming and breaks down fast at scale. - Human tagging introduces inconsistency and bias
Different team members apply theme labels differently, which means your frequency counts are unreliable and stakeholders end up debating the data instead of acting on it. - Insights go stale before anyone acts on them
By the time you've finished synthesizing a large batch of feedback manually, the next wave of responses has already arrived and your findings are already out of date.
Keep reading
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Cancellation Feedback Analysis Template
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How Usercall does this
Qualitative analysis
Transcripts and open-ends, coded with their quotes
Research triggers
Interview people at the moment something happens
Voice of customer analysis
Every feedback source in one analysis
Sample interviews and reports
Hear an AI-moderated interview and open a real report
Free question generators
Interview guides and NPS, CSAT, CX and employee surveys
Reviewed by
Founder of Usercall. 15+ years in qualitative research and insight led strategy
Analyze your voice of customer data automatically — no template needed
Free to start. Upload transcripts, notes or survey responses and get themes with the quotes attached.