Reviews backed by real data.

KC Performance is built for teams that are done grading on gut feeling. Every review is anchored to the targets you set and the results people actually hit, so a rating always has a number behind it. Managers and employees complete their sides in parallel, then sign off with a time stamp. From there the gaps a review surfaces become KC LMS course assignments, and the sign-offs become audit evidence in Comply — the review, the learning, and the record are one continuous thread.

KC Performance runs annual, quarterly, or fully custom cycles from a single console, so you're not rebuilding the process every season. You schedule the cycle, define who reviews whom, and watch sign-off progress in real time as self-assessments and manager reviews come in. Late or at-risk reviews surface before the deadline, not after. And because KC Performance sits on KnowledgeCity's shared data model, the outcomes of each cycle flow straight into KC LMS as learning assignments and into Comply as an audit trail — one record, reused everywhere.

Yes — this is where KC Performance's built-in link to KC LMS pays off. When a review surfaces a competency gap, the manager assigns the right course without leaving the review, and completion is tracked in line as the employee works through it. There's no separate spreadsheet of development actions that no one revisits. The assignment, the completion, and the next review all reference the same record, so the follow-through is visible instead of forgotten.

KC Performance includes configurable 360 / multi-rater feedback, so a review can pull in peers, direct reports, and even external raters like clients or partners. You control the anonymity settings per cycle, which keeps feedback honest without exposing who said what. That multi-rater input sits alongside KPI results and the self and manager reviews, so you get a fuller, more balanced picture instead of a single boss's opinion. As with everything in KC Performance, the resulting gaps can trigger KC LMS learning and the record feeds Comply's audit trail automatically.

KC Performance gives you calibration and 9-box tools in the same place you run reviews. Fairness analysis flags rating patterns — like a manager who scores everyone high — before scores lock, so ratings and promotions hold up to scrutiny. The 9-box grid maps performance against potential across teams for succession planning, and PIP workflows are built in for the people who need support. Since KC Performance shares KnowledgeCity's one data model, the development gaps calibration reveals become KC LMS learning paths without any hand-off.

KC Performance has structured PIP and probation workflows built in, so a performance conversation turns into a documented plan instead of a risky ad-hoc email thread. You run 30/60/90-day probation and improvement plans with clear milestones, check-ins, and a time-stamped record of every step. If the plan calls for training, you assign KC LMS courses inside the workflow and watch completion in-line. Every action lands in the audit trail, which also feeds Comply — so if a decision is ever questioned, the evidence is already there.

KC Performance treats review data as the sensitive record it is. PII is encrypted, every change is captured in an audit trail, and the platform supports DSAR requests and configurable retention so you can meet your data-governance obligations. KnowledgeCity is SOC 2 compliant, which extends to how performance data is handled. Because it runs on one shared data model, you're not scattering employee records across disconnected review, learning, and compliance tools — there's a single governed source, which is far easier to secure and to audit.

That's the whole point of running KC Performance inside KnowledgeCity instead of a standalone review tool. A competency gap in a review becomes a KC LMS course assignment with no export, and each completion flows back into the review in line. Sign-offs, PIPs, and probation records become evidence in Comply's audit trail, and gaps identified through KC Skills line up with the same review data. Results simply move between suites because it's one platform, not four tools bolted together.