TaskRival.

A gamified productivity platform designed to help remote teams and individuals stay accountable, organized, and motivated through task management and reward systems.

June 2025
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Overview

TaskRival is a lightweight productivity platform that blends task management with a gamified reward system, encouraging users to complete daily goals and track progress with built-in incentives. Developed as a solo product initiative, the project aimed to address growing productivity fatigue and accountability gaps among distributed teams.

Aim & Role

Objectives

  • Build a functional MVP to validate the product concept
  • Introduce an innovative reward system to enhance task completion rates
  • Make productivity fun and habit-forming using gamification
  • Ensure the platform was flexible enough for both individual users and remote teams.

My Role

As the Product Owner and Manager, I led the end-to-end development and launch of the MVP, wearing multiple hats across strategy, design, development direction, and user feedback loops. My focus was on building a value-driven product fast, using AI-assisted tools to streamline execution.

Process & Methodology

  • I conceptualized and scoped TaskRival based on research into remote team challenges and user motivation drivers
  • Designed the product architecture and workflows using AI-assisted tools like ChatGPT and low-code builders (I used v0 and Cursor)
  • Established Agile iteration cycles, allowing weekly feature testing based on early feedback from test users
  • Collected and integrated user insights using feedback forms and analytics to drive MVP enhancements.
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Challenges & Solutions

Challenges Faced

  • Initial user drop-offs during onboarding and difficulty in prioritizing features for solo development.

Solutions Implemented

  • Refined onboarding flow by introducing tooltips and a task walkthrough, reducing drop-offs by 35%
  • Created a MoSCoW prioritization matrix and backlog grooming process to focus only on high-impact features for MVP.
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Project Gallery

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Outcomes & Impact

  • MVP launched in 2 months, built using AI agents, and no-code tools
  • 200 users acquired in Month 1, with high retention from early adopters
  • User feedback rated the reward system as the most motivating feature, mentioned in 70% of feedback submissions
  • Built a repeatable feedback → design → deploy loop, enabling faster iteration and more user-driven decisions.