opensesh docs

Evaluation

Evaluation runs structured review rounds over your submissions. A round bundles criteria, a reviewer pool, assignments, and results — you can run several (for example a broad first pass, then a shortlist round).

Set up a round

Create a round from Evaluation (/admin/evaluation) and open it (/admin/evaluation/<roundId>). The round page has five tabs: Setup, Reviewers (n), Assignments (n), Progress, and Results.

On Setup, give the round a Name, an Opens / Closes window, and a Position (ordering among rounds).

Blind review

Optionally enable Blind review — reviewers then see submissions without speaker identities, so scores reflect content, not names.

Criteria come in three shapes:

ShapeWhat it captures
Numeric scoreConfigurable min/max plus a Weight for the overall rating roll-up.
DropdownCategorical calls; the default options are Accept, Maybe, Reject.
Long textFree-form comments. These are also what the decision email composer pulls from when prefilling feedback.

Reviewers and assignments

Add reviewers

On Reviewers, add people by email with an optional Assignment cap, then click Add reviewer. Each reviewer gets a copyable Reviewer access path — reviewers sign in and see a stripped-down sidebar with just Overview and My Reviews.

Distribute the work

On Assignments, filter by track, select submissions, and Assign selected (n) to chosen reviewers — or unassign the same way. Auto-distribute spreads unassigned submissions evenly across the pool while respecting each reviewer's cap.

Track progress

The Progress tab shows a per-reviewer table: how many assignments each person has completed versus outstanding. From here you can send reminder emails to reviewers who are behind — reminders report honestly whether they were sent or captured in the demo inbox.

Results

The Results tab is the scoreboard: one column per criterion, aggregated per submission, with Export CSV for offline analysis.

Decided rows stay put

Decided submissions remain visible here — deciding never removes a row from results.

AI-assisted review

If the deployment has an Anthropic API key configured, Run AI review scores submissions against your criteria automatically. Without a key the button is disabled (see Deployment).

AI scores are advisory, and humans stay in charge: any reviewer or admin can override an AI score, and the row is labeled "Overrode AI score" so it's always clear which numbers came from a person.

Where next

On this page