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University Law School Supporting Video and AV Services
Company Situation
The company operates within a higher education environment, specifically supporting a university law school’s video production and AV services. Their team includes a director overseeing AV and production services and a lead videographer/editor responsible for all video editing related to law school promotional content. The team collaborates across multiple internal departments such as faculty, communications, and clinic departments but has limited direct collaboration on video editing workflows.
Existing Workflow
Currently, the team manages video workflows using Box for file storage and sharing. Video content primarily includes promotional materials for the law school, with some involvement in supporting online course content. Editorial work is performed mainly by a single editor, with occasional support from a secondary editor. Review and approval processes involve multiple stakeholders across departments, but the tools used do not support streamlined collaboration or effective content review.
Issues with the Existing Workflow
Manual tagging of video content is cumbersome and time-consuming.
Existing platforms like Box lack robust video review and approval capabilities, making collaboration difficult.
The team has explored alternatives such as Frame.io but has not yet implemented a solution.
Organizational silos within the university limit broader adoption of new tools, complicating cross-departmental workflows.
Procurement processes and licensing concerns create barriers to rapid adoption of new software.
How Shade Would Change Their Workflow
Shade offers AI-powered auto-tagging that would eliminate the manual burden of tagging video assets, significantly improving content organization and searchability. Shade’s purpose-built video review and collaboration platform enables streamlined feedback and approval processes, allowing multiple stakeholders to review content without requiring additional editor licenses. The platform’s ease of use and flexible licensing (including growth licenses available for individual users via credit card) allows the team to trial and adopt the tool quickly without lengthy procurement delays. Shade’s scalable solution also opens the possibility for future expansion into other departments once initial adoption proves successful.
Benefits
- Automated AI tagging reduces manual workload and improves asset management.
- Centralized video review and approval streamlines collaboration across departments.
- Flexible licensing options facilitate quick onboarding and trial without procurement delays.
- Enhances workflow efficiency for promotional video production.
- Scalable platform supports potential future expansion within the university.
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