Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Kiboh is an AI-enhanced performance management platform covering performance reviews, goal management, continuous feedback, and 1:1 conversations. Its core idea is to turn employees’ day-to-day achievements, feedback, goals, and meeting notes into review evidence, then use AI to help draft evaluations, flag bias, and identify information gaps—so performance reviews do not become just an annual form or a collection of subjective impressions.
For feedback, Kiboh supports praise, constructive feedback, and general feedback, with options for anonymity, configurable privacy levels, feedback requests, and AI-generated theme summaries. Feedback can also be used as evidence in performance reviews. The 1:1 module emphasizes long-term context, supporting persistent topics such as career development, well-being, performance, and projects. It can track commitments, confidence scores, and check-in dates, while providing AI meeting agendas, live highlights, and post-meeting reflections. Goal management supports OKRs, KPIs, and simple goals, with cascading across company, team, and individual levels, plus 0–100 confidence scores and status indicators. On the HR side, Kiboh also offers PSI metrics and a Calibration Copilot for reviewing outliers, distribution, and narrative readiness.
The website does not publish standard plan pricing; pricing is mainly obtained through Request a Quote. The form collects team size, with options ranging from 1–10 to 5000+. The terms of service state that paid plans are prepaid monthly or annually, refunds are handled case by case, and pricing changes are announced 30 days in advance. For deployment, the site explicitly states Hosted on Cloudflare and Cloudflare-native infrastructure, so this is a cloud-hosted service; no self-hosting information was found.
For enterprise capabilities, Kiboh mentions SSO/SAML, per-tenant data isolation, granular privacy levels, and states that Data never sold; user-submitted data belongs to the user and can be exported within 30 days after termination. Collaboration features include cross-level goals, an org chart, people directory, feedback requests, and manager-employee 1:1 workflows. The crawled content did not provide information on third-party integrations, open APIs, audit logs, or compliance certifications such as SOC 2/ISO. These are areas that should be confirmed before enterprise procurement.
Kiboh’s strength is its complete performance management workflow. Its AI is not limited to text generation, but is used across feedback summaries, review drafting, bias prompts, and calibration analysis. It also supports English and Japanese, making it suitable for international teams. The drawbacks are opaque pricing, missing integration and API information, and limited disclosure of compliance materials. It is best suited for small to mid-sized and larger teams that already have performance processes in place and want to reduce subjective evaluation while improving the quality of manager feedback.
Access from mainland China, payment methods, and local service information are not explained in the main content, so china_access can only be considered unknown. If an organization needs local deployment, RMB payments, or deep integration with DingTalk, Feishu, or WeCom, it may also consider alternatives such as Beisen, Moka, Feishu Performance, and DingTalk Performance.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on kiboh.io official site.
kiboh.io is an Unknown Hiring & Remote provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach kiboh.io directly.