Otis provides analytics for conversation‑rich AI products, combining recorded user conversations with behavioral data to identify the most impactful improvements. The platform surfaces insights such as why users trust or reject AI agents, clusters rewrite patterns across sessions, and highlights unmet bulk‑action requests that never reach traditional feedback channels.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams building AI agents and copilot features often lack visibility into how users interact with conversational flows, missing critical signals such as repeated rewrites, failed handoffs, and unmet bulk‑action requests that do not appear in traditional support tickets or usage logs.
Solution
Otis captures full user‑AI dialogues and merges them with behavioral metrics to identify the most impactful product improvements. The platform clusters recurring rewrite patterns, handoff verification rates, and bulk‑action requests, surfacing concrete insights like common correction phrasing and unaddressed user requests. By linking these signals to specific prompts or system settings, teams can pinpoint whether issues stem from prompt design, model behavior, or workflow gaps. Otis then presents the findings in an analytics dashboard that highlights high‑impact opportunities for refining AI agents and copilot features, enabling data‑driven iteration without relying on sparse feedback channels.
Target Audience
Primary customers are product managers, UX researchers, and engineering teams developing conversational AI agents or copilot functionalities within SaaS applications.
Features
- Real‑time ingestion of conversation logs from AI agents and copilot interfaces
- Automatic clustering of rewrite phrases to reveal common user corrections across sessions
- Hand‑off verification metrics that track delegation success rates and identify drop‑off points
- Bulk‑action request detection that surfaces unmet user needs not captured in support tickets
- Correlation of dialogue insights with system prompt changes to isolate root causes
- Interactive dashboard with drill‑down views of sessions, accounts, and phrasing clusters