--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Recognise Foot" developer_entity: "noigroup" bundle_id: "com.noigroup.recognise-feetV2" app_store_id: "1082939619" 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: 21 overall_rating: 3.05 sentiment: "Mixed" sentiment_score: 50 confidence: "medium" confidence_score: 0.5 data_age_days: 75 intelligence_version: 2 tags: ["medical", "paid", "mixed sentiment", "mobile app", "app review", "app analysis", "patients", "undergoing", "rehabilitation"] canonical_url: "https://marlvel.ai/intel-report/medical/com-noigroup-recognise-feetv2" license: "CC-BY-NC 4.0" last_verified: "2026-04-18T03:27:35.392Z" --- # Recognise Foot App Audit > **TL;DR:** Recognise Foot is a medical app by noigroup, rated 3.05/5 by 21 users, with Mixed user sentiment (50/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Recognise Foot shows Mixed sentiment (3.05/5 from 21 reviews) — users praise therapeutic effectiveness but report issues with navigation issues. ## 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:** 8 reviews analyzed - **Confidence:** Medium (0.5/1.0) - **App Store ID (iOS):** 1082939619 - **Bundle ID:** com.noigroup.recognise-feetV2 - **Data Window:** Analysis based on signals collected up to 2026-03-31 ## Executive Snapshot Recognise Foot is a specialized medical application designed to facilitate Graded Motor Imagery (GMI) for patients suffering from complex pain and injury states. By focusing on Left/Right Discrimination training, the app leverages neuroplasticity to assist in rehabilitation. The app targets patients undergoing physical therapy and the clinicians who manage their treatment plans. Its primary differentiator is its clinical-grade integration, allowing users to export progress data directly to therapists, bridging the gap between home-based exercises and professional oversight. ## App DNA (Features & Intent) - **[Differentiator] Left/Right Discrimination Training:** Exercises to improve the brain's ability to identify body parts as left or right, a core component of Graded Motor Imagery. * *User Intent:* Users seek enhanced value through premium features. - **[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 to incorporate into their personal rehabilitation training. * *User Intent:* Users value self-expression and personalized experiences. ## Monetization Strategy - **Model:** Paid - **Tiers:** One-time purchase of $5.99 - **Price:** iOS: $5.99 - **Analysis:** The app utilizes a premium, one-time purchase model, positioning itself as a professional clinical tool rather than a subscription-based consumer app. ## 🟡 User Sentiment (Medium Confidence: 21 reviews) {#user-sentiment} - **Overall Rating:** 3.05/5 - **Platform Split:** iOS 3.0/5 (21 ratings) - **Overall Sentiment:** Mixed ### Top Praises - **Therapeutic Effectiveness** | *Evidence:* "My pain was reduced significantly, my swelling and redness went down" ### Top Complaints (Impact Areas) - **Navigation Issues** | *Evidence:* "How is there no way to go back to the main menu?" ## SWOT Analysis **Core Strengths:** - Strong alignment with evidence-based clinical practices (GMI). - Unique value proposition through clinical data export features. - High user trust regarding therapeutic efficacy. **Critical Frictions:** - Poor UX/UI design, specifically regarding navigation. - Fragmented product ecosystem requiring multiple app downloads. - Declining sentiment trend due to technical debt. **Growth Levers:** - Consolidate the "Recognise" suite into a single "all-in-one" platform. - Introduce subscription-based cloud syncing for patient data. - Expand into mirror therapy or guided movement modules. **Market Threats:** - Competitors offering all-in-one rehabilitation platforms. - Potential for free, ad-supported apps to capture the casual user market. - OS updates potentially breaking the app further. ## The "So What?" (Strategic Takeaway) {#so-what} Recognise Foot is an established medical app that is a paid app. With a 3.05/5 rating from 21 reviews, it shows polarized user reception. **Strategic Opportunity:** While Recognise Foot benefits from strong alignment with evidence-based clinical practices (gmi)., its vulnerability lies in poor ux/ui design, specifically regarding navigation.. A challenger could exploit this by focusing on consolidate the "recognise" suite into a single "all-in-one" platform.. **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 | 3.05/5 | | Total Reviews | 21 | | Sentiment | Mixed (50/100) | | Confidence | Medium | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Recognise Foot** (this app) | 3.05/5 | Mixed | 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-foot/id1082939619?uo=2) - **Dev Site:** [Official Website](https://www.gradedmotorimagery.com) - **Sources:** Developer website content, App store metadata, User reviews. ## 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:** 0.5/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 8 - **Data Sources:** user reviews, developer website, 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-feetv2) Data licensed for AI Agent attribution under CC-BY-NC 4.0.