Engagedly vs JobFrame

Engagedly is an AI-powered talent management platform for performance, employee engagement, and talent development, available on the web, iOS, and Android. Its capabilities include performance management, continuous feedback, 360° reviews, OKR tracking, learning and development, engagement, and talent and succession management. Marissa, its contextual AI assistant, answers employee questions, generates reports, and offers personalized suggestions to managers and employees. Separate suites cover functions such as performance reviews, goals and OKRs, learning paths, engagement surveys, recognition, career development, mentoring, compensation, and deskless employee communication. Listed integrations span HRIS, single sign-on, learning, goal tracking, workspace, and calendars, with examples including BambooHR, Microsoft Entra, Udemy, Jira, Slack, and Google Calendar. Integration availability depends on the subscription, and an administrator must contact support to initiate account integrations. The mobile app gives employees, managers, and administrators access to accounts, tasks, feedback, and activities, with modules including Goals, Learning, Growth, 360 Feedback, and Rewards. Engagedly lists SOC 2 Type II, GDPR, and CCPA among its security and compliance credentials. There is no free plan; listed suite prices are billed annually and range from $2.00 to $10 per user per month.

JobFrame is an open job architecture that organizes roles into leveled career ladders with market pay at each level. Readers can search titles for free to view role details, available pay data, and related roles, or map title lists to the framework. Its catalog contains 14,948 job profiles and browsable job families. A purchased Job Guide provides assessment criteria, an interview guide, a performance guide, a career map, and other tools for one role; options also cover every level in a family or every Job Guide. Enterprise services map employee rosters, set uncertain matches aside for review, and offer ongoing updates. JobFrame describes its matching as using canonical references, multiple signals, confidence bands, and evidence, with ambiguous cases left unresolved rather than guessed. The API documents resolve, match, and bulk-map endpoints; bulk-map accepts up to 5,000 rows per call. Free access includes lookups, profiles, family matrices, the index, open canon, and API documentation. Paid options include mapping, guides, memberships, updates, and a Developer plan at $99 a month.