Voice of Customer Sentiment Record

Template Overview

Customer sentiment provides early warning signs of product dissatisfaction and uncovers high-value expansion opportunities. The Voice of Customer Sentiment Record captures exact customer verbatim phrasing, categorizes feedback by feature pillar, and synthesizes recurring customer needs in plain Markdown.

Markdown Template Structure

Copy the block below or click Download .md File to add this template directly to your personal vault:

---
title: "VoC Sentiment Log: [Cohort / Quarter / Source]"
date: [YYYY-MM-DD]
curator: "[[Product Manager / Researcher]]"
cohort: "Enterprise Security & Legal Teams"
timeframe: "Q3 2026"
net_sentiment: "Positive / Neutral / Critical"
total_feedback_entries: 24
tags: [voc, voice-of-customer, customer-feedback, sentiment, research]
---

# Voice of Customer Sentiment Log — [Cohort / Quarter / Source]

## 1. Executive Summary & Sentiment Trends
- **Overall Sentiment Direction:** Strong positive appreciation for on-device processing and data sovereignty.
- **Top Customer Delight:** Instant local transcription with zero cloud exposure.
- **Top Customer Friction:** Lack of automated hotkey toggles during full-screen presentations.

## 2. Customer Feedback Ledger
| Date | Customer Cohort | Feedback Category | Sentiment | Verbatim Customer Quote |
|---|---|---|---|---|
| 2026-10-02 | Legal Counsel | Privacy Compliance | Positive | *"We passed our annual audit in 10 minutes because no audio packets ever touch external servers."* |
| 2026-10-04 | Engineering Lead | Model Performance | Positive | *"Whisper Large runs completely smoothly on my M3 Max without heating up the laptop."* |
| 2026-10-05 | Staff Researcher | Note Organization | Neutral | *"I wish templates auto-filled the current calendar week number into frontmatter metadata."* |
| 2026-10-07 | Healthcare Admin | File Handling | Critical | *"We need an automated backup warning if the local SSD storage drops below 10GB."* |

## 3. Recurring Theme Aggregation
### Theme 1: Hardware-Accelerated Local Computing
- **Customer Need:** Knowledge workers in strictly regulated sectors demand zero-cloud tooling.
- **Sentiment Score:** 96% Positive across 14 enterprise feedback entries.

### Theme 2: Storage Awareness & Safeguards
- **Customer Need:** Clear disk space warnings to prevent lost recordings when internal storage runs low.
- **Sentiment Score:** 60% Critical across 5 entries.

## 4. Product Recommendations
> [!IMPORTANT] Recommendation
> Implement low-disk-space safeguard notification when free internal disk capacity falls below 15GB.

## 5. Action Items
- [ ] Share VoC synthesis with product engineering during sprint planning.
- [ ] Tag customer accounts interested in testing the upcoming low-storage warning banner.

Filled Real-World Example

Here is a realistic example demonstrating how this template captures actual deliberations:

---
title: "VoC Sentiment: Enterprise Security Cohort"
date: 2026-10-08
curator: "[[Elena Rostova]]"
cohort: "Cybersecurity & Governance"
timeframe: "October 2026"
net_sentiment: "Positive"
total_feedback_entries: 15
tags: [voc, sentiment, feedback]
---

# Voice of Customer Sentiment Log — Enterprise Security Cohort

## 1. Executive Summary
Elena Rostova compiled feedback from 15 enterprise security officers using the app for internal incident calls.

## 2. High-Impact Quotes
- Chief Information Security Officer: *"This is the first transcription tool our compliance team approved for sensitive breach triage."*
- Infrastructure Architect: *"The Markdown output integrates into our internal Git audit trail without manual reformatting."*

## 3. Next Steps
The feedback log was forwarded to the Core Engineering team to prioritize background model caching.

When to Use and When to Avoid

When to Use

• Use during weekly product triage to review customer quotes and sentiment shifts.
• Use when compiling quarterly product requirement updates for executive stakeholders.
• Use to preserve raw customer vocabulary for marketing and product messaging alignment.

When to Avoid

• Avoid using as a real-time support ticket ticketing queue.
• Avoid using for bug tracking that requires stack traces and reproduction steps.

On-Device AI Integration

Summarize your recording in Oyma with this local instruction:

Analyze the raw customer interview feedback:
1. Extract verbatim quotes and assign sentiment ratings (Positive, Neutral, Critical).
2. Group quotes into distinct thematic pillars and assess frequency.
3. Generate a structured Markdown sentiment report with product prioritization recommendations.

Your data remains securely on your Mac with zero cloud exposure.