Training, sales, and enablement teams increasingly use video role-plays and practical exercises to assess skills and readiness. However, manually reviewing and scoring hundreds or thousands of video submissions is time-consuming, inconsistent, and resource-intensive. Organizations need a scalable, objective, and automated way to evaluate video assignments and provide actionable feedback quickly.
The TIDWIT AI Video Examinator App enables ecosystem administrators to create and publish video role-play assignments directly on their TIDWIT nodes. Admins define custom scoring matrices that capture the exact criteria important for their training goals. Learners record and upload their video submissions via the assignment page using any video recording tool.
Once a video is uploaded, the system automatically triggers a multi-step AI review process powered by TIDWIT AI:
With the AI Video Examinator app, TIDWIT users accelerate learner readiness and skill validation through automated, objective, and personalized video evaluations. This innovation empowers training and sales ecosystems to incorporate realistic role-play exercises at scale – reducing administrative overhead while enhancing learner engagement and feedback quality. Early adopters, including AWS LATAM teams, report significant improvements in partner enablement effectiveness and scalability.
Discover how TIDWIT customers are unleashing the full power of their partner ecosystems
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