Depth is positioned as an AI product manager, with its core purpose being to automate product analysis and reduce the work of manually reviewing analytics data, user sessions, and feedback analysis. It is aimed at teams that need to iterate quickly, with the goal of spending less time looking at analytics and more time iterating.
Main capabilities:
- Automated analysis: processes analytics data, user sessions, and feedback, and outputs a list of actionable items and important metrics.
- Insight discovery: finds the parts where users are most frustrated in the product and uncovers user pain points; it can also discover opportunities for product feature and UX improvements.
- Automated reporting: collects all analytics data without setting up complex tags or configuring complex funnels.
- Concise feed: centralizes important information in one simple feed, replacing complex dashboards.
- Export: exports the insights provided by Depth directly to product management boards, helping accelerate development cycles.
Examples of insights given in the materials include: optimization of membership plan and benefits display - users may miss important membership plan information due to excessive scrolling and lack of feature prioritization, and the benefits page is overloaded, making it difficult to quickly browse and find relevant benefits, requiring a balance between information and presentation to promote engagement and understanding; video playback and usability issues - including broken video links, loading delays, no autoplay, poor visual indicators, difficulty starting playback, blank player, slow playlist retrieval, unresponsive play button, etc., affecting user experience and the core function of watching content. The materials also show "Checkout Flow Completions January - June 2024" as an example of automated reporting.
How to use: the materials claim that Depth can capture all analytics data without custom configuration or setting up complex funnels; teams let Depth handle analysis and reporting and export insights to project management boards. Specific onboarding steps, supported platforms, installation commands, pricing, and billing models are not yet provided.
Use cases: suitable for product and development teams that want to reduce manual product analysis and accelerate iteration, for centralized viewing of key metrics, discovering UX issues and user pain points, generating feature ideas, and syncing them into the product management process.
Limitations: the materials do not explain supported data sources, integration methods, privacy and compliance, accuracy, or whether it is free or paid, nor do they provide specific pricing, platforms, or installation commands; this information is not yet provided.