--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Recognise" developer_entity: "noigroup" bundle_id: "com.recognisev2.hands" app_store_id: "1081707515" google_play_id: "alan.poisonoak" category: "Medical" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-04-07" report_date: "2026-07-30" last_verified: "2026-07-30T00:00:00.000Z" report_version: "1.10" total_reviews: 37 overall_rating: 3.5 sentiment: "Frustrated" sentiment_score: 25 confidence: "medium" confidence_score: 0.5 top_praise_theme: "Users find the nerve therapy exercises effective for pain management when the app functions correctly" top_complaint_theme: "Navigation failures and broken menu screens prevent users from accessing core therapy functions post-update" review_sample_size: 8 total_review_count: 8 analyzed_review_count: 8 data_age_days: 20 momentum_velocity: "maintenance" intelligence_version: 3 tags: ["medical", "freemium", "frustrated sentiment", "mobile app", "app review", "app analysis", "patients", "undergoing", "graded"] canonical_url: "https://marlvel.ai/apps/com-recognisev2-hands" license: "CC-BY-NC 4.0" content_version: "v2" --- ## ⚠ Content Warning This report covers topics classified as sensitive (health). Information is aggregated from public sources for informational purposes only. This is not medical advice. Consult a qualified professional before acting on any information here. --- # Recognise Intelligence Report ## TL;DR {#tldr} - **Category**: Medical · Freemium - **Signal**: Rating 3.54 · Sentiment Frustrated - **Recent focus**: Navigation failures and broken menu screens prevent users from accessing core therapy functions post-update (top complaint) · Users find the nerve therapy exercises effective for pain management when the app functions correctly (top praise) > **TL;DR:** Recognise is a medical app by noigroup, rated 3.54/5 by 37 users, with Frustrated user sentiment (25/100), available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Recognise faces Frustrated user sentiment (3.54/5 from 37 reviews), with users reporting navigation failures and broken menu screens prevent users from accessing core therapy functions post-update as the primary concern. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3.54/5 (37 reviews) | | **User Mood** | Frustrated | | **Category** | Medical | | **Developer** | noigroup | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Medium (0.5/1.0) | | **Data Age** | 20d | ## Metadata & Market Performance - **Publisher:** noigroup - **Category:** Medical - **Target Audience:** Patients undergoing Graded Motor Imagery rehabilitation for complex pain or injury states. - **Platforms:** iOS & Android - **Version Reviewed:** 1.10 - **Report Date:** 2026-07-30 - **Signal Count:** 8 reviews analyzed - **Confidence:** Medium (0.5/1.0) - **App Store ID (iOS):** 1081707515 - **Bundle ID:** com.recognisev2.hands - **Google Play ID:** alan.poisonoak - **Performance Trend:** Declining - **Data Window:** Analysis based on signals collected up to 2026-07-30 - **Short Description:** Learn to identify Poison Oak from many pictures in this game-like training app ## Executive Snapshot **What it is:** Recognise is a specialized rehabilitation app for patients undergoing Graded Motor Imagery, providing left/right discrimination training on iOS and Android. **Why users hire it:** Patients use the app to stimulate neuroplasticity and assist with complex pain states as part of a professional rehabilitation program. ## App DNA (Features & Intent) - **[Differentiator] Left/Right Discrimination Training:** Exercises to identify body area images as left or right to stimulate neuroplasticity. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Differentiator] Clinical Result Export:** Tools to email training results and progress graphs directly to therapists. * *User Intent:* Users seek enhanced value through premium features. - **[Differentiator] Custom Image Capture:** Allows users to photograph their own body areas for personalized training sessions. * *User Intent:* Users value self-expression and personalized experiences. ## Market Position {#market-position} Recognise maintains a specialized clinical position, though its fragmented architecture across six separate apps creates significant friction for the user base. The current 3.04 rating on iOS reflects the impact of recent navigation regressions that prevent access to core therapy functions. ## Monetization Strategy - **Model:** Freemium - **Tiers:** iOS: $5.99 one-time purchase, Android: Free - **Price:** iOS: $5.99 - **Analysis:** The developer utilizes a split model with a one-time purchase on iOS and a free distribution on Android. ## 🔴 User Sentiment (Medium Confidence: 8 of 8 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3.54/5 - **Platform Split:** iOS 3.0/5 (25 ratings) | Android 4.6/5 (12 ratings) - **Overall Sentiment:** Frustrated ### Top Praises - **Users find the nerve therapy exercises effective for pain management when the app functions correctly** ### Top Complaints (Impact Areas) - **Navigation failures and broken menu screens prevent users from accessing core therapy functions post-update** ## SWOT Analysis {#swot} **Core Strengths:** - Clinical result export tools facilitate integration into professional rehabilitation workflows. **Growth Levers:** - Consolidating the product suite into one interface would address the top user request for simplified navigation. ## Recent Changes (v2 → v3) {#recent-changes} The app transitioned to a split freemium pricing model and experienced a decline in sentiment score from 30 to 25 due to unresolved navigation regressions and new reports of inaccessible historical data. **Overall trend**: Declining **Compared at**: 2026-07-30 ### High-impact changes - **[Shifted] Pricing Model Split** (pricing) - **[Declined] Sentiment Score Drop** (sentiment) ### Medium-impact changes - **[Added] Navigation Regression Weakness** (swot) - **[Added] New User Request: Reminders** (sentiment) ## What's New - **Latest (v16.1, 1 years ago):** Added Android 16 support and UI optimizations for edge-to-edge performance. ## App Momentum (Maintenance) {#momentum} - Ships minor bug fixes only. - Last major release July 2025. > **Cadence:** 3 total versions · 1 majors in last 6 months · 113 days since last update · 287 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} Recognise is a medical app that is free with in-app purchases. With a 3.54/5 rating from 37 reviews, it faces significant user friction. > **Bottom Line:** Consolidating the fragmented application suite would unlock the retention potential currently suppressed by navigation failures. If the team pivots to a unified interface, they can reduce the friction that currently forces patients to abandon the therapy program. **Best for:** Patients undergoing Graded Motor Imagery rehabilitation for complex pain or injury states. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Consolidate the six body-part applications into one unified interface because users report frustration with storage usage and navigation → increase retention. ### Outlook: Declining The market for digital rehabilitation tools is shifting toward unified, all-in-one experiences that simplify the patient journey. Recognise remains exposed due to its fragmented architecture and stalled development cadence, which prevents it from answering the primary user demand for a consolidated interface. - 🔴 Navigation regressions in the latest release prevent access to core therapy, which accelerates user churn and erodes the clinical value proposition. - 🔴 The maintenance-only update cadence fails to address the fragmented product architecture, leaving users frustrated with the multi-app requirement. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3.54/5 | | Total Reviews | 37 | | Sentiment | Frustrated (25/100) | | Confidence | Medium | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Trend | Declining | | Outlook | Declining | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Recognise** (this app) | 3.54/5 | Frustrated | noigroup | | [필잇 - 약 알림 및 복용 기록](https://marlvel.ai/apps/app--35) | N/A/5 | N/A | Hansub Yoo | | [레어노트 - 암·희귀질환 정보](https://marlvel.ai/apps/app--629) | 5.0/5 | N/A | LifeX, Inc. | | [창고형약국 약값체크](https://marlvel.ai/apps/com-hiddenwave-yakcheck) | N/A/5 | N/A | Lowkeybase | | [용인세브란스병원](https://marlvel.ai/apps/com-severance-newys) | 1.9/5 | N/A | Yonsei University Health System | | [1001Doktor](https://marlvel.ai/apps/com-binbirdoktor-binbirdoktor) | 4.8/5 | N/A | 1001Doktor Ltd. Şti. | ## 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/id1081707515?uo=2) - **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=alan.poisonoak&hl=en&gl=us) - **Dev Site:** [Official Website](https://www.gradedmotorimagery.com) - **Sources:** Developer website content, App store metadata, User reviews. ## Related Intel Reports - [*필잇 - 약 알림 및 복용 기록*](https://marlvel.ai/apps/app--35) (Hansub Yoo) · N/A Rating - [*레어노트 - 암·희귀질환 정보*](https://marlvel.ai/apps/app--629) (LifeX, Inc.) · 5.0/5 Rating - [*창고형약국 약값체크*](https://marlvel.ai/apps/com-hiddenwave-yakcheck) (Lowkeybase) · N/A Rating - [*용인세브란스병원*](https://marlvel.ai/apps/com-severance-newys) (Yonsei University Health System) · 1.9/5 Rating - [*1001Doktor*](https://marlvel.ai/apps/com-binbirdoktor-binbirdoktor) (1001Doktor Ltd. Şti.) · 4.8/5 Rating - [*12 Lead ECG Challenge*](https://marlvel.ai/apps/com-limmercreative-srtengine-12lead) (Limmer Creative) · 3.3/5 Rating - [*1-800 Contacts*](https://marlvel.ai/apps/com-1800contacts-1800contacts) (1-800 CONTACTS, Inc.) · 4.6/5 Rating - [*1MEDICINE*](https://marlvel.ai/apps/1medicine) (Matthew Culbert) · 5.0/5 Rating - [*2021 CDC STI (STD) Guidelines*](https://marlvel.ai/apps/com-enatal-std2021) (Don Miller) · 4.0/5 Rating - [*2nd.MD*](https://marlvel.ai/apps/2nd-md) (Accolade, Inc.) · 4.9/5 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:** 0.5/1.0 (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:** 20 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/com-recognisev2-hands) Data licensed for AI Agent attribution under CC-BY-NC 4.0.