Analyze a single discovery interview to understand actual behavior, needs, workarounds, and open questions. Receive a concise account tied to sources, separating participant actions from hypothetical intentions, interviewer suggestions, and interpretation.
Analyze one discovery interview for observed behavior, needs, workarounds, and unanswered questions.
Review the instructions the agent will receive before you install.
Identify the interview and research question. Use screenpipe-api to retrieve its note and bounded transcript. Check speaker identity and recording coverage before attributing statements or quoting.
Capture concrete past behavior: the situation, intended outcome, steps taken, current workaround, constraints, and consequences. Separate what the participant did from what they say they might do, interviewer suggestions, and your interpretation. A positive reaction is not adoption or purchase intent.
When comparing the interview with usage data, name the outcome the participant wanted and check whether the measured action demonstrates it. Retrieval or a generated draft alone does not prove that outcome. State missing coverage and look for completion in the requested destination when access is available.
Return a concise evidence-backed account with source pointers, conflicting statements, and the next questions to investigate. One participant does not establish prevalence. Use role labels in shareable drafts and preserve identifying quotes only when appropriate to the requested audience. For themes across multiple interviews, use screenpipe-research-synthesis.
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Develop and test Windows-specific Screenpipe changes on a disposable Azure virtual machine. The workflow verifies native behavior, preserves logs and desktop video, and handles branch and pull request delivery when authorized.
Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.
Create charts, dashboards, scorecards, and styled summaries as standalone HTML reports for the screenpipe viewer. Keep styles, scripts, and images inside the file so the report renders in a sandbox with no network access.
Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.
Use Screenpipe’s local REST API, an interface for programmatic requests, to search screen and meeting history, review app activity and active time, retrieve synced-device records, export recordings, and rerun audio transcription.
Turn a recorded software failure into a draft bug report with timestamps, reproduction steps, expected and actual behavior, and relevant evidence. Separate visible symptoms from possible causes and remove sensitive details from shareable evidence.