## ⚠ 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. --- last_verified: "2026-05-19T19:53:35.871Z" --- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "TMT(Trail Making Exam) J" developer_entity: "Takuya Kawakami" bundle_id: "com.welfapp.TMT" app_store_id: "1078504516" category: "Medical" primary_platform: "ios" primary_monetization: "Paid" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2023-05-16" report_date: "2026-05-19" last_verified: "2026-05-19" report_version: "1.2" total_reviews: 0 confidence: "low" confidence_score: 0.05 data_age_days: 0 momentum_velocity: "zombie" intelligence_version: 2 tags: ["medical", "paid", "mobile app", "app review", "app analysis", "healthcare", "professionals", "individuals"] canonical_url: "https://marlvel.ai/intel-report/medical/com-welfapp-tmt" license: "CC-BY-NC 4.0" content_version: "v2" --- # TMT(Trail Making Exam) J App Audit ## TL;DR {#tldr} - **Category**: Medical · Paid > **TL;DR:** TMT(Trail Making Exam) J is a medical app by Takuya Kawakami, available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** TMT(Trail Making Exam) J is a medical app by Takuya Kawakami. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Medical | | **Developer** | Takuya Kawakami | | **Pricing** | Paid | | **Platforms** | iOS | | **Confidence** | Low (0.05/1.0) | | **Data Age** | 0d | ## Metadata & Market Performance - **Publisher:** Takuya Kawakami - **Category:** Medical - **Target Audience:** Healthcare professionals and individuals seeking to perform standardized neuropsychological screening for visual attention and cognitive flexibility. - **Platforms:** iOS - **Version Audited:** 1.2 - **Audit Date:** 2026-05-19 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.05/1.0) - **App Store ID (iOS):** 1078504516 - **Bundle ID:** com.welfapp.TMT - **Data Window:** Analysis based on signals collected up to 2026-05-19 ## Executive Snapshot TMT(Trail Making Exam) J is a medical tool designed to administer neuropsychological assessments of visual attention and task switching. The app tracks performance metrics, including completion time and error counts, to help users monitor cognitive function based on standardized testing protocols. ## App DNA (Features & Intent) - **[Standard] Part A Assessment:** Measures cognitive processing speed by requiring users to connect numbers 1 through 25 in ascending order. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Part B Assessment:** Evaluates task-switching capabilities by requiring users to alternate between numbers 1–13 and letters A–L. - **[Standard] Performance Tracking:** Records the total time in seconds and the number of mistakes made during each test session. * *User Intent:* Users want visibility into their own performance and progress. ## Monetization Strategy - **Model:** Paid - **Price:** iOS: $1.99 ## App Momentum (Zombie) {#momentum} Last updated 1099d ago. 3 versions tracked. > **Cadence:** 3 total versions · 0 majors in last 6 months · 1099 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} TMT(Trail Making Exam) J is an established medical app that is a paid app. > **Bottom Line:** The app provides a digital implementation of the Trail Making Exam to quantify cognitive impairment through time-based performance metrics. **Best for:** Healthcare professionals and individuals seeking to perform standardized neuropsychological screening for visual attention and cognitive flexibility. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Paid | | Platforms | iOS | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **TMT(Trail Making Exam) J** (this app) | N/A/5 | N/A | Takuya Kawakami | | [Move On with AJ](https://marlvel.ai/intel-report/medical/move-on-with-aj) | 4.3/5 | Excited | Universal Relaxation Ltd | | [Ortho Traumapedia](https://marlvel.ai/intel-report/medical/orthotraumapedia) | 3.5/5 | N/A | HTG, LLC | | [NYC Employees PPO Plan](https://marlvel.ai/intel-report/medical/com-uhg-mobile-nyce) | 4.6/5 | N/A | United HealthCare Services, Inc. | | [DeepScribe](https://marlvel.ai/intel-report/medical/deepscribe) | 4.0/5 | N/A | DeepScribe | | [Procedure Log](https://marlvel.ai/intel-report/medical/com-rmk-iosapps-procedure-log) | 4.8/5 | N/A | Robert Kuhnhenn | ## Company Profile - **Developer:** Takuya Kawakami ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/kr/app/tmt-trail-making-exam-j/id1078504516?uo=2) - **Sources:** App store metadata. ## Related Intel Reports - [*Move On with AJ*](https://marlvel.ai/intel-report/medical/move-on-with-aj) (Universal Relaxation Ltd) — 4.3/5 Rating | Positive Sentiment - [*Ortho Traumapedia*](https://marlvel.ai/intel-report/medical/orthotraumapedia) (HTG, LLC) — 3.5/5 Rating | N/A Sentiment - [*NYC Employees PPO Plan*](https://marlvel.ai/intel-report/medical/com-uhg-mobile-nyce) (United HealthCare Services, Inc.) — 4.6/5 Rating | N/A Sentiment - [*DeepScribe*](https://marlvel.ai/intel-report/medical/deepscribe) (DeepScribe) — 4.0/5 Rating | N/A Sentiment - [*Procedure Log*](https://marlvel.ai/intel-report/medical/com-rmk-iosapps-procedure-log) (Robert Kuhnhenn) — 4.8/5 Rating | N/A Sentiment - [*Dario Health*](https://marlvel.ai/intel-report/medical/dario-health) (LabStyle Innovation Ltd) — 4.8/5 Rating | Negative Sentiment - [*Access - by McGraw Hill*](https://marlvel.ai/intel-report/medical/access-by-mcgraw-hill) (McGraw-Hill) — 3.9/5 Rating | N/A Sentiment - [*Meu SUS Digital*](https://marlvel.ai/intel-report/medical/meu-sus-digital) (Servicos e Informacoes do Brasil) — 3.7/5 Rating | N/A Sentiment - [*CRNA Nurse Anesthesia Review*](https://marlvel.ai/intel-report/medical/crna-nurse-anesthesia-review) (Higher Learning Technologies) — 4.7/5 Rating | N/A Sentiment - [*FHO+ Calc*](https://marlvel.ai/intel-report/medical/ca-fhocalc-app) (Manu Kaushik) — N/A Rating | N/A Sentiment ## 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 and evidence quoting. 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:** 0 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/medical/com-welfapp-tmt) Data licensed for AI Agent attribution under CC-BY-NC 4.0.