--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Recognise Shoulder" developer_entity: "noigroup" bundle_id: "com.noigroup.recognise-shoulderV2" app_store_id: "1082947661" category: "Medical" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2024-09-10" report_date: "2026-03-31" report_version: "1.9" total_reviews: 4 overall_rating: 2.25 confidence: "low" confidence_score: 0.1 data_age_days: 75 intelligence_version: 2 tags: ["medical", "paid", "mobile app", "app review", "app analysis", "patients", "undergoing", "rehabilitation"] canonical_url: "https://marlvel.ai/intel-report/medical/com-noigroup-recognise-shoulderv2" license: "CC-BY-NC 4.0" last_verified: "2026-04-18T03:27:44.347Z" --- # Recognise Shoulder App Audit > **TL;DR:** Recognise Shoulder is a medical app by noigroup, rated 2.25/5 by 4 users, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Recognise Shoulder is a medical app by noigroup. ## Metadata & Market Performance - **Publisher:** noigroup - **Category:** Medical - **Target Audience:** Patients undergoing rehabilitation for complex pain or injury, and the clinicians or therapists managing their Graded Motor Imagery programs. - **Platforms:** iOS - **Version Audited:** 1.9 - **Audit Date:** 2026-03-31 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.1/1.0) - **App Store ID (iOS):** 1082947661 - **Bundle ID:** com.noigroup.recognise-shoulderV2 - **Data Window:** Analysis based on signals collected up to 2026-03-31 ## Executive Snapshot Recognise Shoulder is a specialized medical application designed to facilitate Graded Motor Imagery (GMI) for patients suffering from complex shoulder pain and injury. By leveraging neuroplasticity through Left/Right Discrimination training, the app provides a structured, evidence-based rehabilitation tool that bridges the gap between clinical therapy and home-based practice. Targeted primarily at patients under clinical supervision and the therapists managing their recovery, the app occupies a niche position within the Medical category. Its primary differentiator is its clinical-grade utility, specifically the ability for patients to capture custom images and export progress data directly to their healthcare providers. ## App DNA (Features & Intent) - **[Differentiator] Left/Right Discrimination Training:** Tests the user's ability to quickly and accurately identify body parts as left or right to stimulate neuroplasticity. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Clinical Integration Tools:** Allows users to export and email progress results directly to clinicians or therapists. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Custom Image Capture:** Enables users to take their own photos on their device to incorporate into the training program. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Progress Tracking:** Provides detailed onscreen results and graphs to map performance over time. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Gamified Training Tools:** Includes 'Memory' and 'Speed match' tools with graded difficulty levels and personal best challenges. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Educational Content:** Provides a comprehensive explanation of the science behind Graded Motor Imagery and Left/Right Discrimination. * *User Intent:* Users seek enhanced value through premium features. ## Monetization Strategy - **Model:** Paid - **Tiers:** One-time purchase price of $5.99 - **Price:** iOS: $5.99 - **Analysis:** The app uses a straightforward premium model without subscriptions, targeting users who require specific therapeutic tools for long-term rehabilitation. ## SWOT Analysis **Core Strengths:** - Strong alignment with clinical protocols and evidence-based medicine. - Unique features like custom image capture provide high utility for personalized therapy. - Direct clinical integration (data export) creates a 'sticky' ecosystem for therapists. **Critical Frictions:** - Low rating count (4) and poor average rating (2.25) suggest potential UI/UX or technical stability issues. - Lack of social media presence limits community building and brand awareness. - The app has not seen significant feature updates since 2016, risking obsolescence. **Growth Levers:** - Expansion into a subscription-based model could fund regular updates and feature parity with modern mobile standards. - Integration with wearable health devices could automate progress tracking. - Development of a unified 'Recognise' platform that combines all body parts into one app. **Market Threats:** - Generalist health and wellness apps incorporating basic neuro-rehab features. - Potential for newer, more modern UI/UX competitors to capture the market. - Platform OS updates (iOS) may eventually break legacy code from the 2016 rebuild. ## The "So What?" (Strategic Takeaway) {#so-what} Recognise Shoulder is an established medical app that is a paid app. With a 2.25/5 rating from 4 reviews, it shows polarized user reception. **Strategic Opportunity:** While Recognise Shoulder benefits from strong alignment with clinical protocols and evidence-based medicine., its vulnerability lies in low rating count (4) and poor average rating (2.25) suggest potential ui/ux or technical stability issues.. A challenger could exploit this by focusing on expansion into a subscription-based model could fund regular updates and feature parity with modern mobile standards.. **Best for:** Patients undergoing rehabilitation for complex pain or injury, and the clinicians or therapists managing their Graded Motor Imagery programs. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 2.25/5 | | Total Reviews | 4 | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 6 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Recognise Shoulder** (this app) | 2.25/5 | N/A | noigroup | | [Vulvar Pain Algorithm](https://marlvel.ai/intel-report/medical/com-washgyn-vestibulodynia) | N/A/5 | N/A | Jennifer Lanoff | | [Total Reflexology-3D](https://marlvel.ai/intel-report/medical/com-acupuncturelearning-totalreflexology) | 4.0/5 | N/A | GraphicVizion | | [CardioGenetics](https://marlvel.ai/intel-report/medical/com-scd-risk-calculator) | N/A/5 | N/A | MARK EMILE PEPIN | | [ECGsource](https://marlvel.ai/intel-report/medical/com-ecgsource-applicationname) | 3.0/5 | N/A | ECGsource LLC | | [My F1rst Steps](https://marlvel.ai/intel-report/medical/com-myfirststeps-www) | 5.0/5 | N/A | My First Steps LLC | ## Company Profile - **Developer:** noigroup - **Website:** [https://www.gradedmotorimagery.com](https://www.gradedmotorimagery.com) ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/recognise-shoulder/id1082947661?uo=2) - **Dev Site:** [Official Website](https://www.gradedmotorimagery.com) - **Sources:** App store metadata. ## Related Intel Reports - [*Vulvar Pain Algorithm*](https://marlvel.ai/intel-report/medical/com-washgyn-vestibulodynia) (Jennifer Lanoff) — N/A Rating | N/A Sentiment - [*Total Reflexology-3D*](https://marlvel.ai/intel-report/medical/com-acupuncturelearning-totalreflexology) (GraphicVizion) — 4.0/5 Rating | N/A Sentiment - [*CardioGenetics*](https://marlvel.ai/intel-report/medical/com-scd-risk-calculator) (MARK EMILE PEPIN) — N/A Rating | N/A Sentiment - [*ECGsource*](https://marlvel.ai/intel-report/medical/com-ecgsource-applicationname) (ECGsource LLC) — 3.0/5 Rating | N/A Sentiment - [*My F1rst Steps*](https://marlvel.ai/intel-report/medical/com-myfirststeps-www) (My First Steps LLC) — 5.0/5 Rating | N/A Sentiment - [*Mobile VSO : Claims Guide*](https://marlvel.ai/intel-report/medical/app-replit-mobilevso) (ANDREW THOMAS COOLEY) — 5.0/5 Rating | N/A Sentiment - [*Pelvic Pain Pentad*](https://marlvel.ai/intel-report/medical/com-pentad-app) (Jennifer Lanoff) — N/A Rating | N/A Sentiment - [*Protectometer*](https://marlvel.ai/intel-report/medical/protectometer) (noigroup) — 2.0/5 Rating | N/A Sentiment - [*Drug Facts by PillSync.com*](https://marlvel.ai/intel-report/medical/drug-facts-by-pillsync-com) (Scanidme inc) — 4.3/5 Rating | Positive Sentiment - [*Beat Social Phobia with AJ*](https://marlvel.ai/intel-report/medical/beat-social-phobia-with-aj) (Universal Relaxation Ltd) — 3.9/5 Rating | Excellent Sentiment ## Methodology {#methodology} This report was generated by Marlvel.ai's 3-stage AI intelligence pipeline: 1. **Feature & Positioning Extraction** — Analyzes app metadata, developer website content, and version history to identify key features, target audience, and competitive positioning. 2. **Sentiment Analysis** — Processes user reviews (minimum 5 reviews required) to extract praise themes, complaint themes, and overall sentiment with evidence quotes. 3. **Intelligence Synthesis** — Combines stages 1 & 2 with App Store rankings to produce SWOT analysis, executive summary, and actionable insights. - **Confidence Score:** 0.1/1.0 (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:** 8 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/medical/com-noigroup-recognise-shoulderv2) Data licensed for AI Agent attribution under CC-BY-NC 4.0.