Feature Prioritization Framework for Fitness App MVP

Challenge Overview

StartFit is a fictional early-stage startup developing a mobile fitness app targeting busy professionals aged 28-45 who struggle to maintain consistent workout routines. The founding team has brainstormed 18 potential features but needs to narrow to 6-8 features for their minimum viable product (MVP) launching in four…

StartFit is a fictional early-stage startup developing a mobile fitness app targeting busy professionals aged 28-45 who struggle to maintain consistent workout routines. The founding team has brainstormed 18 potential features but needs to narrow to 6-8 features for their minimum viable product (MVP) launching in four months. The candidate features span workout tracking, social motivation, personalized plans, progress analytics, integration with wearables, nutrition logging, guided video content, achievement badges, and community challenges. The team has constraints: two mobile developers, limited backend infrastructure, no video production budget yet, and a goal to reach 1,000 active users within three months of launch. Your task is to develop a clear prioritization framework that evaluates features against relevant criteria (such as development effort, user value, competitive differentiation, retention impact, and technical dependency), then recommend a specific MVP feature set with rationale. The output should help the founding team make a confident build decision and defend it to advisors.

Eligibility

Rules & Eligibility

Solo submissions only — no teams.
You may use any open-weight model. Closed-weight API calls (OpenAI, Anthropic, etc.) are not permitted in the inference path unless the brief explicitly allows it.
Training data we provide may not be used for any purpose outside this competition.
You retain copyright on your code. The business receives a non-exclusive license to the winning submission.

The judging

Evaluation Criteria

Three layers, weights frozen at publish time. No surprise rule changes.

40%

Automated tests

Unit, integration, edge — frozen at start.

20%

Public vote

Community votes on UX & code quality, weighted by reputation.

Vote weighted by reputation, anti-fraud enforced.

40%

Business review

Client satisfaction & business fit.

What's at stake?

Win+30 ELOTop-3+15 ELONo-show−3 EmbersLate−1 Embers

If you win or place

+30ELO points· winner
+15ELO points· top-3
+5ELO points· participation
+5/+3/+1Embers· winner / top-3 / participated

If you register but underperform

−3Embers if you no-show after registering
−1Embers for a late submission
−10Embers + investigation if anti-cheat flags work
0penalty if you withdraw before registration closes