# Product decisions on data, not guesses

> The agent gathers feedback, runs research, writes specs and computes metrics — so the team decides what to build next. The decision stays with the team, but on prepared data.

## What the agent does

- **Feedback in one place:** collects reviews from email, chats, marketplaces and the CRM, groups them by topic, counts frequency
- **Market and competitor research:** studies competitors, prices and trends across hundreds of sources and consolidates the findings into a structured report
- **Specs and PRDs from ideas:** turns notes and requests into drafts of specs, requirements and user stories — ready for review
- **Metrics and prioritization:** pulls product metrics, computes impact/effort, proposes what to take into the next sprint

## How it works

The agent takes feedback from email, messengers, reviews on Wildberries, Ozon and Yandex Market, tickets and the CRM. During research it processes hundreds of sources in parallel, reads the primary sources and verifies facts with links. Specs come out as solid drafts in your format: problem, goal, requirements, success metrics.

## Scenarios

- "Break down the month's reviews — what is asked for most often?"
- "Compare us with 8 competitors on features and prices"
- "Draft a PRD for Excel export from our notes"
- "Compute impact/effort for the backlog items"
- "Find the top 5 user pains of the quarter"

## Links

- Home: https://samreshuuu.com
- Integrations: https://samreshuuu.com/integrations
- Pricing: https://samreshuuu.com/pricing
- Data analytics: https://samreshuuu.com/use-cases/analytics