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The evidence pipeline

Everything in Mirage follows one flow:
  1. You define what to measure. A project declares its metrics (“Wells dug”, “Attendance rate”) and reporting tasks describe what evidence to collect.
  2. Reporters capture reality. Field reporters answer your questions and attach photos, video, and audio from the reporter app.
  3. AI analyzes the evidence. Mirage transcribes audio (including translation to English), summarizes media, and proposes metric values, each with a confidence score and a trace back to the exact answer or attachment it came from.
  4. Stewards verify. Nothing counts until someone on your team approves it. Rejected values are excluded; approved values roll up into your project metrics.
  5. Donors see verified impact. Donor reports assemble approved data, consented photos, and an AI-written narrative into a public page.
This is why Mirage describes itself as AI assisted and steward approved: the AI proposes, your team decides.

Building blocks

Roles

A steward works in the Steward Dashboard (app.mirage.partners); a reporter works in the Reporter App (report.mirage.partners). The same underlying account can hold either role, and a person can belong to multiple organizations. When reporters capture photos or video, they record whether the people pictured gave face permission and whether the media is internal only. Donor-facing pages respect those flags automatically: media without face permission or marked internal-only never appears on a public donor report. See Sharing donor reports for details.

What “verified” means

  • Every metric contribution links back to its source: the specific question answer or media attachment it was extracted from.
  • Media is analyzed by Mirage’s verification engine: audio is transcribed and language-detected, video and photos are summarized by AI.
  • A steward reviewed and approved every value that appears in a donor report.
  • Organizations can additionally complete organization verification to display a verified badge to donors.