Solutions · 360° & 180° feedback

Multi-rater feedback, scored properly.

Self, manager, and peer perspectives on one instrument — aggregated with a scoring model built for rater networks, not spreadsheets.

Who runs 360s on Ascent

People & culture teams

Run leadership 360s across a whole management layer without hand-building a rater matrix in a spreadsheet.

Coaches & consultants

Deliver white-labeled multi-rater instruments to clients under your own brand and methodology, not ours.

L&D and talent functions

Track competency growth between rating cycles and benchmark cohorts of managers against each other.

How Ascent models it

One form. Every rater relationship.

360° and 180° feedback are the same mechanism at different scale — 180° drops the peer/direct-report layer and keeps self + manager. Ascent handles both with the same building blocks.

Define raters, not just questions

Build one question set, then assign rater relationships — self, manager, direct report, peer — as cohorts. Conditional logic and piping keep the same form relevant to every rater group without duplicating it.

Score with the networked model

Ascent's networked scoring model is built for exactly this: it aggregates scores across a web of raters and relationship types, rolling individual responses up into per-competency and overall ratings automatically.

Compare views, not just averages

Self-vs-others gaps, manager-vs-peer deltas, and blind-spot flags all come from the same underlying rollups. Benchmark a leader's result against a percentile, an average, or a seeded target — up to three on one chart.

Turn ratings into feedback

AI Interpret scores open-text comments against your rubric, and the tile report builder assembles a narrative feedback report per leader — with drilldowns into every competency and rater group.

An example flow, end to end

01

Build the instrument once

Author competencies and behavioral questions in the editor. Use sliders, matrix grids, and rankings alongside free text for qualitative comments.

02

Assign rater cohorts

Invite the subject, their manager, and a peer/direct-report cohort. Each rater relationship is tracked as its own cohort so results can be sliced by relationship type later.

03

Collect responses

Raters complete the same underlying form; conditional logic tailors wording per relationship (e.g. 'my manager' vs 'this person') via piping.

04

Score with the networked model

Ascent rolls every rater's answers into competency scores, then into an overall rating — weighted however your framework requires.

05

Deliver the report

A tile-based report shows self vs. others, benchmarks against the cohort average or a percentile, and AI-drafted narrative feedback the subject can discuss live with AI Discuss.

Confidentiality by design

Tenant-isolated data and TOTP MFA protect sensitive rater responses, and rater identities can be aggregated so subjects see grouped peer feedback, not attributed comments.

Iteration tracking

Re-run the same 360° next cycle and Ascent tracks difference scores automatically — so a leader's report shows movement per competency, not just a snapshot.

  • Self / manager / peer cohorts
  • Networked scoring
  • Piping & conditional logic
  • AI Interpret + AI Discuss

Related: see how the same networked scoring model powers team assessments and how cohorts feed maturity diagnostics.

Build your first 360° on Ascent.

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