Classroom-level evidence for every graduating teacher.

Mentor reports and self-reflection capture adult perspectives on the PST's practice. Pivot captures the student perspective — the people on the receiving end of the teaching. Validated against teaching effects since 2014, the instrument surfaces what students experience in the room, which is the hardest thing for any other source (including AI) to fabricate.

The output is a feedback-to-action artefact: the PST's data, their interpretation of it, and the practice change they'll make in response. That structure plugs directly into the evidence sections of the GTPA, AfGT, and QPA. We can map specifically against your TPA framework in the discovery call and provide a worked sample artefact.

None hidden. We're working with a small group of ITE providers in 2026 to make sure the model is right for the sector, and we want honest feedback in exchange for a fully-resourced pilot. There's no obligation to continue commercially, no auto-renewal, and full data exit on request. Pricing for 2027 onwards is something we'll discuss together once you've seen the results.

Many do. The PST survey runs as a separate instance — it doesn't appear in your school's whole-staff Pivot data, doesn't double-count student survey time (we coordinate windows with the school), and doesn't conflict with the school's existing teacher cycles. We work with the school's Pivot lead directly to avoid survey fatigue.

Every PST is supported through the dashboard release by Pivot's practitioner team — including a same-week debrief option for any PST who wants one. The mentor is not asked to interpret or contextualise the data; that work sits with the PST and Pivot. Your placement coordinator is notified only of completion status, not of results.

Student responses are anonymous to the PST, the mentor, the school, and the faculty — Pivot reports aggregated patterns, never individual student answers. Where a class is small enough that aggregated reporting could risk identification (we apply minimum-n suppression at the class level), survey results are held back from the dashboard and reported only in the de-identified institutional view.

No. Your individual results are yours. Your mentor and university supervisor do not see them unless you choose to share. Your faculty sees only the de-identified institutional report, with minimum-n suppression so no single PST or class can be re-identified.

No. Pivot for ITE is a developmental tool, not an assessment tool. The artefact is evidence you may choose to use in your TPA portfolio — it isn't a separate grade, it doesn't feed your placement report, and it doesn't go to VIT.

It's a known issue in the student-perception literature, and one we take seriously. The Pivot instrument is built around items asking students about specific classroom behaviours and practices — not personal judgements of the teacher — which mitigates some of the documented bias patterns. If your individual data appears to reflect bias rather than practice, there's a documented flagging process, and the data doesn't go anywhere it shouldn't in the meantime.

Yes, without consequence. Your faculty is told only the cohort-level participation rate, not who declined. Opting out doesn't appear on any record visible to your supervisor, your mentor, or your future employer.

No. The institutional report your faculty receives is aggregated across the cohort and shows patterns mapped to AITSL Standards, not individual results. Minimum-n suppression is applied so any group too small to report on is hidden.

All data is hosted in AWS Sydney (ap-southeast-2). No production data — student or PST — leaves Australia.

No. Survey responses, free-text comments, and derived analytics are never used to train Pivot's models, and are never sent to third-party LLMs (OpenAI, Anthropic, Google, or any other). This is contractually warranted, not just stated in marketing.

Default retention is the pilot cycle plus 12 months for institutional reporting. Verified deletion certificate provided on request within 30 days. Data is fully exportable in CSV — no lock-in, no data hostage.

Certified under the national Safer Technologies 4 Schools (ST4S) scheme.

Data ownership in an ITE pilot is layered. The university owns the cohort report and the de-identified analytics behind it. PSTs own their individual results and can request deletion at graduation. The school remains the data controller for student data, and Pivot captures the principal's endorsement before any survey is fielded.

The school remains the data controller for student participation — not the university, not Pivot. The permissions chain across school, parents, faculty, and PST is one we've mapped and built a workflow for, so your faculty doesn't have to design the consent route or chase signatures across host schools.