Product Customer Insights Analyst

An AI analyst that turns feedback into features

Collects what customers say everywhere and turns it into a prioritized list your product team can act on. No more feedback lost in support tickets.

Capabilities

What your Customer Insights Analyst worker does

01

Collects feedback from all channels, support tickets, NPS, reviews, sales calls, Slack

02

Categorizes by theme, feature area, and sentiment automatically

03

Scores priority using impact vs. frequency across customer segments

04

Writes a weekly digest for the product team with top insights

05

Maintains a living feedback backlog, deduplicated and current

06

Alerts when a feature request spikes suddenly or sentiment shifts

Goal example

"Process 100% of customer feedback within 24 hours. Deliver a weekly top-10 insights digest every Monday."

That's the entire setup. No prompts. No workflows.

Differentiators

What makes this different

Every channel, one view

Support tickets, NPS surveys, G2 reviews, sales call notes, Slack messages, your AI analyst collects feedback from everywhere and unifies it in one prioritized backlog.

Signal, not noise

Not a dump of raw feedback. Your analyst scores each item by frequency and impact, so your PMs see what matters most, not what's loudest.

Spike detection

When a feature request suddenly surges or sentiment on a feature drops, your analyst alerts the team immediately, not three weeks later in a quarterly review.

Segment-aware

Feedback from your top 10 accounts carries different weight than feedback from free trial users. Your AI analyst scores priorities by customer tier and revenue impact.

Same team. Different output.

Before

  • Feedback scattered across 6+ tools with no unified view
  • PMs manually reading support tickets for insights
  • Feature requests counted by volume, not impact
  • Quarterly feedback reviews that are already outdated
  • No visibility into sentiment trends over time

After

  • All feedback unified in one prioritized backlog
  • Weekly insights digest delivered automatically
  • Priority scoring by frequency x impact x customer tier
  • Real-time alerts on spikes and sentiment shifts
  • Trends tracked over time with quarter-over-quarter data

FAQ

Common questions

It collects customer feedback from every channel, support, NPS, reviews, sales calls, categorizes and scores it by priority, and delivers a weekly digest to your product team. No feedback gets lost.

It scores each item using frequency (how many customers mentioned it), impact (how it affects retention and revenue), and customer tier (enterprise feedback weighted higher). PMs see what actually matters.

No. It handles the passive feedback that's already flowing in, support tickets, surveys, reviews. It surfaces what customers are already telling you, so your researchers can focus on deeper discovery.

They gave you a tool. We'll give you a team.

Your first Shadow Worker is ready in 30 seconds. No contracts, no workflows to build, no AI to babysit.