Narra - Content Management for Video Streaming Platform

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Narra - Content Management for Video Streaming Platform

A B2B video content management platform designed to improve the workflows of Editors and Publishers by addressing challenges in uploading, tagging, segmenting, and approving content. The project also included product strategy definition, competitor benchmarking, user flow mapping, and a usability testing plan to validate the solution.

Client

B2B - Case Study

Service Provided

UX Strategy & Problem Framing, Prototyping

YEAR

4/17/25

Target User

Persona 1: Editor

Role: Content uploader and segmenter

🧩 Responsibilities	🎯 Goals	⚠️ Pain Points
Upload movies and TV series	Upload and manage video content efficiently	Tedious one-by-one uploading process & Inability to multitask during video upload
Enter metadata	Structure content by season and episode	Each episode may require unique descriptions and content customization
Define seasons and episodes	Personalize thumbnails for different user segments	Difficulty assigning multiple thumbnails for different audiences

Persona 2: Publisher

Role: Content reviewer and

🧩 Responsibilities	🎯 Goals	⚠️ Pain Points
Review the uploaded content	Review new uploads easily	Can’t distinguish new vs old uploads
Check for errors	Publish only well-structured content	No structured flow for feedback
Approve or return with comments	Give feedback quickly when needed	Lack of visibility into what’s being uploaded

HMW;

❓ …help editors upload and organize multiple episodes in one go? → Batch Uploading
KPI: Avg. season upload time ↓ by 50% compared to manual single uploads

❓ …allow editors to continue working while uploads are in progress? → Background Upload
KPI: 70% of editors engage in content entry while uploading in background

❓ …make episode-specific info editable without losing batch context? → Episode-level Editing
KPI: Avg. editing time per episode ↓ by 40%

❓ …enable editors to personalize thumbnails based on user segments? → Thumbnail Segmentation
KPI: ≥2 segment thumbnails for 70% content

❓ …make the review and feedback flow for publishers smoother and clearer? → Publisher Feedback Loop
KPI: Each comment should receive a reply within 2 days on average

Solution

Introduced a Bulk Upload System
Enabled editors to upload multiple video files at once, significantly reducing the time spent on repetitive manual uploads.

Background Uploading with Parallel Editing
While videos upload in the background, editors can simultaneously work on creating new movies or series entries, increasing overall productivity.
Structured Editing at Episode Level
Each uploaded video can be edited individually, allowing editors to input specific metadata, descriptions, and publishing rules per episode.
Advanced Thumbnail Management
Editors can assign custom thumbnails per episode, extract them directly from the video, or define display rules (e.g., "Use this thumbnail on mobile only").
Conditional Display Logic for Visual Assets
Introduced if/else rule-based thumbnail display, giving editors flexibility over how visuals appear across platforms and screen sizes.
Seamless Linking of Content to Series or Movies
Editors can quickly link uploaded videos to existing or new series/movies, ensuring a clean and consistent content structure.
Drag-and-Drop Reordering of Episodes
Reordering episodes within a series is now intuitive and fast, thanks to a drag-and-drop interface integrated into the episode management screen.
Streamlined Publisher Workflow with Feedback Loop
Publishers can leave feedback comments directly on episodes and update content status. Editors can easily respond and implement revisions, facilitating a smoother review cycle.

Validation

🎯 Test Structure

Objective

Validate the usability and discoverability of the Video Library feature and related workflows — ensuring that editors can efficiently upload, organize, and manage content.

👥 Participants

Target Group:
6–8 users who are editors or content managers familiar with media upload workflows.

User Segments:

4 Frequent Uploaders (Daily/Weekly)
→ Help validate efficiency improvements and reveal workflow friction early.
2 Occasional Uploaders (Monthly)
→ Help test discoverability of features like "Create" and "Link".
2 New Users (No Prior Experience)
→ Reveal the intuitiveness of the platform with no onboarding or prior usage.