--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "[コーチ向け] Build for Coach" developer_entity: "Aruga" bundle_id: "site.aruga.arugaOneManager" app_store_id: "1506707869" category: "Sports" primary_platform: "ios" primary_monetization: "Unknown" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-07-06" report_date: "2026-08-06" last_verified: "2026-08-06T00:00:00.000Z" report_version: "2.7.8" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 1 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["sports", "mobile app", "app review", "app analysis", "sports", "coaches", "managers"] canonical_url: "https://marlvel.ai/apps/build-for-coach" license: "CC-BY-NC 4.0" content_version: "v2" --- # [コーチ向け] Build for Coach Intelligence Report ## TL;DR {#tldr} - **Category**: Sports > **TL;DR:** [コーチ向け] Build for Coach is a sports app by Aruga, available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** [コーチ向け] Build for Coach is a sports app by Aruga. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Sports | | **Developer** | Aruga | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 1d | ## Metadata & Market Performance - **Publisher:** Aruga - **Category:** Sports - **Target Audience:** Sports coaches and team managers implementing structured reflection systems. - **Platforms:** iOS - **Version Reviewed:** 2.7.8 - **Report Date:** 2026-08-06 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1506707869 - **Bundle ID:** site.aruga.arugaOneManager - **Performance Trend:** Stable - **Data Window:** Analysis based on signals collected up to 2026-08-06 ## Executive Snapshot **What it is:** Build for Coach is a sports team communication app that uses chatbots and reflection tools to guide athlete development on iOS. **Why users hire it:** Coaches hire this app to automate the experience learning cycle for large teams, solving the problem of manual, inconsistent athlete feedback. ## App DNA (Features & Intent) - **[Differentiator] Coaching Chatbot:** Automated prompts based on experience learning theory to guide athlete reflection. * *User Intent:* Users need clear guidance to understand and adopt the product quickly. - **[Standard] Daily Reflection Summary:** Structured daily input for athletes to log practice goals and outcomes. * *User Intent:* Users are motivated by consistent progression and daily incentives. - **[Standard] Condition and Schedule Management:** Centralized tracking for athlete physical condition and attendance. * *User Intent:* Users want visibility into their own performance and progress. ## Market Position {#market-position} Build for Coach occupies a niche institutional space in the Sports category, with a release cadence that has slowed to maintenance-only updates. The lack of public ratings and reviews suggests a closed, private-access user base that prioritizes team-level control over public discovery. ## Monetization Strategy - **Model:** Unknown - **Analysis:** The app requires a pre-issued account, indicating an institutional sales model rather than direct-to-consumer billing. ## SWOT Analysis {#swot} **Core Strengths:** - Experience learning theory integration provides a defensible pedagogical barrier to entry. **Growth Levers:** - Untapped B2B distribution channels through sports academy partnerships could bypass the current account-issuance bottleneck. ## Recent Changes (v2 → v3) {#recent-changes} The product remains in a maintenance phase, but the analytical framework has shifted to emphasize the growth risks posed by the current institutional-only access model. **Overall trend**: Stable **Compared at**: 2026-08-06 ### High-impact changes - **[Shifted] SWOT Analysis Reframing** (swot) - **[Shifted] Market Outlook Pivot** (positioning) ### Medium-impact changes - **[Shifted] PM Action Item Prioritization** (positioning) ## What's New - **Latest (v2.7.8, 1 months ago):** Fixed a bug related to schedule display. ## App Momentum (Maintenance) {#momentum} - Ships only maintenance-level bug fixes. - Last major release over 6 months ago. > **Cadence:** 1 total versions · 0 majors in last 6 months · 30 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} [コーチ向け] Build for Coach is a sports app. > **Bottom Line:** Build for Coach secures team loyalty through structured reflection mechanics, but its institutional-only access model and maintenance-mode development pace limit its ability to capture the wider sports-coaching market, so the PM should prioritize a self-serve onboarding flow to unlock organic growth. **Best for:** Sports coaches and team managers implementing structured reflection systems. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship self-serve account registration because current institutional gating limits organic discovery → increase user acquisition velocity ### Outlook: Stable The sports-coaching software market is shifting toward self-serve, data-driven platforms that allow individual coaches to pilot tools before team-wide rollout. Build for Coach remains locked in an institutional-sales model, which limits its ability to iterate based on broad user feedback and leaves it exposed to faster-moving entrants. - 🔴 The latest update focused exclusively on a schedule display bug, confirming a maintenance-mode posture that risks falling behind active competitors. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Platforms | iOS | | Key Features | 3 analyzed | | Trend | Stable | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **[コーチ向け] Build for Coach** (this app) | N/A/5 | N/A | Aruga | | [DraftKings Predictions](https://marlvel.ai/apps/draftkings-predictions) | 4.8/5 | Mixed | DraftKings | | [DraftKings: Sports & Casino](https://marlvel.ai/apps/draftkings-sportsbook-casino) | 4.8/5 | n/a | DraftKings | | [FanDuel Predicts](https://marlvel.ai/apps/fanduel-predicts) | 4.8/5 | n/a | FanDuel, Inc. | | [Fish AI - AI Fishing App](https://marlvel.ai/apps/com-fishai-app) | 4.7/5 | n/a | GymBros Inc. | | [NBA: Live Games & Scores](https://marlvel.ai/apps/nba-live-games-scores) | 4.5/5 | n/a | NBA MEDIA VENTURES, LLC | ## Company Profile - **Developer:** Aruga ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/%E3%82%B3%E3%83%BC%E3%83%81%E5%90%91%E3%81%91-build-for-coach/id1506707869?uo=4) - **Sources:** App store metadata. ## Related Intel Reports - [*DraftKings Predictions*](https://marlvel.ai/apps/draftkings-predictions) (DraftKings) · 4.8/5 Rating - [*DraftKings: Sports & Casino*](https://marlvel.ai/apps/draftkings-sportsbook-casino) (DraftKings) · 4.8/5 Rating - [*FanDuel Predicts*](https://marlvel.ai/apps/fanduel-predicts) (FanDuel, Inc.) · 4.8/5 Rating - [*Fish AI - AI Fishing App*](https://marlvel.ai/apps/com-fishai-app) (GymBros Inc.) · 4.7/5 Rating - [*NBA: Live Games & Scores*](https://marlvel.ai/apps/nba-live-games-scores) (NBA MEDIA VENTURES, LLC) · 4.5/5 Rating - [*PrizePicks - Sports Picks*](https://marlvel.ai/apps/prizepicks-sports-picks) (SidePrize, LLC) · 4.5/5 Rating - [*Sporttrade: Prediction Markets*](https://marlvel.ai/apps/sporttrade-prediction-markets) (SPORTTRADE INC) · 4.7/5 Rating | Positive Sentiment - [*플레이공*](https://marlvel.ai/apps/com-tychesoft-playball) (Tychesoft) · N/A Rating - [*더블이글 - 요즘 골프예약*](https://marlvel.ai/apps/com-albatrss-de) (Double Eagle Inc.) · 4.0/5 Rating - [*테니스타운*](https://marlvel.ai/apps/com-momzit-tennistown) (link.tennistown) · 3.5/5 Rating ## Methodology {#methodology} This report was generated by Marlvel.ai's 5-stage AI intelligence pipeline: 1. **Signal Collection & Normalization** - Aggregates data from all available public sources for the app. Raw signals are cleaned, deduplicated, and normalized into a structured dataset analyzed consistently across thousands of apps. 2. **Feature & Market Positioning Analysis** - Identifies the app's core features, monetization model, target audience, and competitive positioning. Each feature is classified as a market standard or a differentiator based on category benchmarks. 3. **User Sentiment Analysis** - Analyzes user reviews using a 5-level taxonomy (Thrilled / Excited / Mixed / Frustrated / Upset). Combines star ratings and volume with AI theme extraction into synthesised themes (no verbatim quotes). 4. **Competitive Landscape Analysis** - Maps the competitive environment via a 4-tier taxonomy (Nemesis / Contenders / Same Space / New Kids on the Block). Prioritizes same sub-genre over broad category. 5. **Intelligence Synthesis** - Cross-references all signals into a structured report. Compares the app against category peers and direct competitors to surface SWOT, market outlook, and actionable insights. - **Confidence Score:** 0.05/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** App Store metadata - **Rating Method:** Weighted average across platforms (iOS & Android), weighted by review count per platform - **Independence:** Fully independent analysis. No publisher sponsorship or editorial influence. - **Report Age:** 1 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/build-for-coach) Data licensed for AI Agent attribution under CC-BY-NC 4.0.