12,617 Tickets.
30 Minutes of Insight.

This is the feedback intelligence system I built at COROS. Two years of real support data, clustered and surfaced so product, engineering, and support all pull from the same signal — instead of each team guessing separately.

COROS Support · 2 Years of Real Data · US, EU, UK, APAC

The Problem: 12,617 Tickets, No Clear Signal

At COROS, support data lived in Zendesk. Product lived in spreadsheets. Engineering heard about issues in Slack. Nobody had a shared picture of what customers were actually experiencing — and decisions were made on gut feel or whoever complained loudest. This system changed that.

Click to run the analysis

AI Working Behind the Scenes

While AI handles the repetitive analysis, your team can focus on strategic thinking and customer relationships.

1
Intelligent Categorization
AI reads every piece of feedback and identifies patterns humans would miss in manual review
2
Cross-Functional Signal Detection
Surfacing insights that matter to product, engineering, and customer success teams
3
Strategic Recommendation Engine
Converting data into actionable priorities that drive real business decisions

Strategic Insights, Not Just Numbers

Now your teams can spend time on what humans do best: understanding context, building relationships, and making strategic decisions.

Tickets Analyzed
12,617
2024–2026, all regions
Analysis Time
~30 min
vs. weeks of manual review
Actionable Clusters
12
Product, eng, and CS signals
Cross-Team Decisions
5+
Weekly, enabled in real-time

Feedback Categories

Patterns your team can act on immediately

  • Battery Life Concerns 847 mentions
  • Sync Connectivity Issues 623 mentions
  • Feature Requests 456 mentions
  • Positive Experience 542 mentions
  • App Navigation 234 mentions

Regional Trends

Geographic insights for targeted improvements

Battery Features Connectivity UI/Nav
EU
US
APAC
UK

Human-Centered Action Items

These insights free your teams to focus on strategic work instead of data processing.

Product Team Priority
Battery optimization should be next sprint's focus. 847 customers specifically mentioned this issue, with higher impact in European markets.
Human insight: This affects customer retention
Engineering Investigation
Sync connectivity patterns suggest a server-side issue affecting iOS users disproportionately. Recommend immediate engineering review.
Human decision: Technical vs. UX problem
Customer Success Outreach
542 positive experiences provide templates for success stories. CS team can focus on amplifying what's working well.
Human relationship: Build on strengths
Cross-Functional Collaboration
Feature requests cluster around navigation improvements. Product, UX, and Support should collaborate on priority ranking.
Human coordination: Strategic alignment

The system is live. The numbers are real.

This isn't a demo of what AI could do — it's a snapshot of what it already does at COROS. 12,617 tickets. 95%+ CSAT. $630K in annual value. Every data point here has a receipt.

12,617
Tickets in production
system
95%+
CSAT through full
automation rollout
$630K
Annual value created
documented
32
Person global team
running on it
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