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Voice of Customer Synthesizer · gooseworks-ai | DecimalAI

researchby gooseworks-ai

Voice of Customer Synthesizer

gooseworks-ai/voice-of-customer-synthesizer

Source gooseworks-ai/goose-skills ↗License MIT

Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering, sentiment analysis, trend detection, and actionable recommendations for product, marketing, and CS teams. Chains review-site-scraper for public review data.

SkillScore84Maintained

Automatic

Customer Success pack

Last verified 8/16/2026

What it changes

Passed 21 of 25 test cases with the skill, and 17 of 25 without it.

Without skill68%

With skill84%

Checks it passed that the model alone missed

Theme cards include a root cause hypothesis.
The document includes an Appendix: All Themes Detail section.
The output filename follows the date-stamped template voc-report-[YYYY-MM-DD].md.

and 3 more in the full report

5 fixed16 passed either way3 still failing1 broke

Pass-rate lift: +16 pp
Tokens: +89%
Agent turns: 0%
Response time: -25%

Model gemini-3.6-flashMeasured 8/16/2026v121 of 25 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-voice-of-customer-synthesizer/SKILL.md https://app.decimal.ai/s/gooseworks-ai-voice-of-customer-synthesizer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gooseworks-ai-voice-of-customer-synthesizer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gooseworks-ai-voice-of-customer-synthesizer/ and pins it in .decimal/skills.lock

decimalai skills add gooseworks-ai-voice-of-customer-synthesizer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gooseworks-ai-voice-of-customer-synthesizer/SKILL.md https://app.decimal.ai/s/gooseworks-ai-voice-of-customer-synthesizer/SKILL.md

Raw file: /s/gooseworks-ai-voice-of-customer-synthesizer/SKILL.md ↗ · machine-readable summary at /s/gooseworks-ai-voice-of-customer-synthesizer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

At the end of the synthesized VoC report markdown output, what concluding section must store the complete set of detailed theme cards?

What was checked, without and with the skill
Checked	Without skill	With skill
The document includes an Appendix: All Themes Detail section.	Missed	Passed

case-23 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md301 linessingle file

Voice of Customer Synthesizer

Turn scattered customer feedback into a single source of truth. Aggregates signals from every source you have, clusters them into themes, and produces a report that product, marketing, and CS teams can actually act on.

Built for: Startups where customer feedback lives in 6 different places and nobody has time to synthesize it. The founder says "what are customers saying?" and nobody has a clear answer. This skill produces that answer.

When to Use

"What are our customers saying?"
"Synthesize customer feedback from last quarter"
"Build a VoC report for the product team"
"What themes are coming up in customer feedback?"
"Aggregate feedback from all our channels"

Phase 0: Intake

Feedback Sources (provide all you have)

Support tickets — Export from support tool (CSV: customer, date, subject, description, tags, resolution)
NPS/CSAT survey responses — Scores + verbatim comments
Slack messages — Customer channel messages, feedback channels
G2/Capterra reviews — Will scrape if product is listed (provide product name or URL)
Call/meeting transcripts — Customer call recordings or notes
Churn exit survey responses — Why did customers leave?
Feature request log — Internal tracker of what customers have asked for
Social mentions — Twitter/LinkedIn/Reddit threads mentioning your product
Email threads — Notable customer emails (praise or complaints)
In-app feedback — Any in-product feedback submissions

Configuration

Time period — What window to analyze? (Last 30 days, quarter, 6 months)
Product name — For review scraping and context
Report audience — Who's reading this? (Product team, exec team, CS team, all)
Focus areas — Any specific themes to pay attention to? (e.g., "onboarding experience", "pricing feedback", "mobile app")

Phase 1: Data Collection

1A: Internal Data Processing

From the provided inputs, normalize all feedback into a standard format:

Track record

Benchmark

21 / 25

test cases passed, vs 17 / 25 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gooseworks-ai / goose-skills

skills/research/composites/voice-of-customer-synthesizer/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Voice of Customer Synthesizer

When to Use

Phase 0: Intake

Feedback Sources (provide all you have)

Configuration

Phase 1: Data Collection

1A: Internal Data Processing

Track record

Benchmark

Adoption

SkillSafety

Source

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