RhinoAgents AI Product Manager synthesises user feedback, scores features by business impact, maintains your product roadmap, generates sprint briefs, and keeps stakeholders updated — 24/7 without a single manual update.
A fully autonomous specialist — delivering enterprise-grade outcomes 24/7 without manual coordination.
Scores every feature request on Reach, Impact, Confidence, and Effort — then auto-ranks and assigns to sprints.
Reads Intercom, Zendesk, G2, and Slack threads — categorises themes, detects patterns, and surfaces actionable insights.
Maintains a live product roadmap in Jira, Linear, or Notion — updating timelines, dependencies, and status automatically.
Generates structured product requirements documents and sprint briefs from high-level feature descriptions — ready for engineering.
Sends weekly or on-demand roadmap digests to executives, sales, and customers — tailored to each audience.
Monitors feature adoption, DAU, retention, and NPS scores — surfaces drops and suggests corrective actions proactively.
Connect your tools, provide brand instructions, set scoring guidelines, and launch.
Link the primary tools where data or tickets arrive and where outputs are stored.
Give the AI your specific objectives, brand voice constraints, and context guidelines.
Drag & drop guideline files or click to browse
PDF, DOCX, TXT (Max 15 MB)
Configure the rules, scoring parameters, and actions the AI will apply autonomously.
All systems operational. The agent is monitoring inputs and executing your rules automatically.
Explore real-time queues, processed items, and automated performance analytics managed autonomously.
| Feedback Source | Feedback Ingested | Features Mapped | Jira Stories Added |
|---|---|---|---|
| Intercom / Helpdesk | 84 items | 12 features | 5 stories |
| G2 / Capterra Reviews | 38 items | 7 features | 3 stories |
| Slack Feedback Channel | 25 items | 4 features | 1 story |
Form fills, project boards, databases, or support queues sync in real time.
Applies custom score sheets, checks thresholds, and structures next actions.
Updates records, schedules meetings, sends notifications, and generates reports.
Your AI Product Manager continuously reads user feedback, scores features by impact and effort, maintains a live roadmap, writes PRDs, and keeps every stakeholder in the loop.
Not a simple template. A fully autonomous specialist that performs actual work in real time.
Never wait for human updates. The AI runs triggers and completes updates in under a minute.
Upload your own playbooks, sheets, and SOPs. The agent will adapt its behavior instantly.
Switch between Needs Review and Autopilot modes at any time. Get detailed daily reports directly in Slack or email.
Choose the plan that matches your pipeline volume. Cancel anytime.
All plans include a 14-day free trial. No credit card required. Cancel anytime.
An AI Product Manager is an autonomous system that manages your product backlog, prioritises features using data-driven scoring frameworks (RICE, ICE), synthesises user feedback, and generates PRDs and sprint briefs.
By default, the AI uses RICE (Reach, Impact, Confidence, Effort) and ICE. You can configure custom weighting and criteria to match your team's specific product scoring process.
It reads Intercom conversations, Zendesk tickets, G2/Capterra reviews, Slack channels, and emails. Themes are automatically clustered and ranked by estimated revenue impact.
Yes. Given a feature name and high-level goal, the AI generates a structured PRD including user stories, acceptance criteria, edge cases, and success metrics.
Jira, Linear, Notion, Asana, and any tool with a REST API. It updates tickets, timelines, and backlog boards automatically.
Integrate your tools, upload your playbooks, and launch your agent in under 15 minutes.