Understand research collections and screen evidence
Keep source context with observations, screen annotations, and collections.
Research can contain more than a written note. ConversionLab supports research collections, screens, and screen annotations as structured evidence, including records created by supported API workflows.
Read an observation’s evidence
Open an observation and inspect Evidence for its source details. If it has Screen Annotations, those links identify the screen evidence attached to the observation. An annotation supplies context for a region or finding; the observation explains what was noticed there.
The observation's source label, evidence kind, confidence, and observed date help distinguish first-hand notes from imported or generated material. Review that information before accepting a suggestion or using it to support an insight.
Use collections and screens through an integration
The supported REST API exposes research collections, screens, and screen annotations. Use the API reference for their request fields, related IDs, and response definitions. These objects can support observation and audit workflows even though the main product navigation centers on Observations, Insights, and Learnings.
Keep records and their relationships in the intended project. When importing evidence, include enough descriptive text that a teammate can understand its significance without relying solely on a screenshot.
For ordinary file uploads on ideas, insights, or experiments, use attachments. For AI-assisted page captures and findings, see audits.