[Case 04]

Empowered creators to easily upload and monetize workout videos within the Fitsentive ecosystem.

Health & Fitness Tech

Fitsentive Creator: Empowering Creators to Earn

A web portal for creators to upload and monetize workout videos.

[Project Overview]

Fitsentive Creator is a web-based portal that allows fitness creators to upload workout videos directly to the Fitsentive app. These videos become accessible to users seeking curated workouts based on their goals. The platform enables creators to publish content, manage their library, and earn money from their uploads—all within one streamlined portal.

[Problem Statement]

Fitness creators lacked a dedicated platform to upload, manage, and monetise their workout content within the Fitsentive ecosystem. Users also needed consistent, high-quality workouts from verified creators. Fitsentive Creator solved this by giving creators a simple way to publish videos that instantly appear in the user app.

[Industry]

Health & Fitness Tech

[My Role]

Product Designer

[Platforms]

Website

[Timeline]

2021

[Persona]

Jhon Roberts

Marketing Manager

Age: 29

Location: New York City

Tech Proficiency: Moderate

Gender: Male

[Goal]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Frustrations]

Quickly complete purchases without interruptions.

Access accurate product details and a seamless payment process.

Trust the platform with his payment and personal information.

[Process]

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[01] User Research

Conducted interviews with 15 frequent users to uncover frustrations and preferences.

Analyzed behavioral data to identify bottlenecks in the current flow.

Benchmarked against competitors to identify best practices for checkout flows.

[Outcome]

25% increase in checkout completion rates.
30% reduction in cart abandonment on mobile devices.
30% reduction in cart abandonment on mobile devices.

[Key Learnings]

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

Human-Centered Approach

Designing experiences that prioritize user needs and behaviors.

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