--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "STUD - Questões de Concursos" developer_entity: "Genius Tech LTDA" bundle_id: "br.com.geniustech.stud" app_store_id: "6763767460" category: "Education" primary_platform: "ios" primary_monetization: "Freemium" offline_capable: false market_region: "US" platforms: "iOS & Android" app_last_updated: "2026-10-05" report_date: "2026-10-05" last_verified: "2026-10-05T00:00:00.000Z" report_version: "1.1.3" total_reviews: 0 confidence: "low" confidence_score: 0.2 data_age_days: 40 momentum_velocity: "active" intelligence_version: 2 tags: ["education", "freemium", "mobile app", "app review", "app analysis", "candidates", "preparing", "brazilian"] canonical_url: "https://marlvel.ai/apps/stud-questoes-de-concursos" license: "CC-BY-NC 4.0" content_version: "v2" --- # STUD - Questões de Concursos Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Freemium > **TL;DR:** STUD - Questões de Concursos is a education app by Genius Tech LTDA, available on iOS & Android. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** STUD - Questões de Concursos is a education app by Genius Tech LTDA. ## Quick Facts | Fact | Value | | :--- | :--- | | **Category** | Education | | **Developer** | Genius Tech LTDA | | **Pricing** | Freemium | | **Platforms** | iOS & Android | | **Confidence** | Low (0.2/1.0) | | **Data Age** | 40d | ## Metadata & Market Performance - **Publisher:** Genius Tech LTDA - **Category:** Education - **Target Audience:** Candidates preparing for Brazilian public service exams, specifically those targeting police, fiscal, and administrative roles. - **Platforms:** iOS & Android - **Version Reviewed:** 1.1.3 - **Report Date:** 2026-10-05 - **Signal Count:** 0 reviews analyzed - **Confidence:** Low (0.2/1.0) - **App Store ID (iOS):** 6763767460 - **Bundle ID:** br.com.geniustech.stud - **Google Play ID:** br.com.geniustech.stud - **Data Window:** Analysis based on signals collected up to 2026-10-05 - **Short Description:** A study path designed around the topics most frequently covered in your role. You simply follow it. ## Executive Snapshot **What it is:** STUD is an education app for Brazilian public service candidates that provides structured, AI-driven study paths and question sequences on iOS and Android. **Why users hire it:** The app removes the cognitive cost of manual study planning by automating the sequence of topics based on exam history and syllabus requirements, which allows users to focus exclusively on remediation. ## App DNA (Features & Intent) - **[Differentiator] AI-Powered Explanations:** Generative AI rewrites reasoning for incorrect answers to provide personalized explanations, acting as a premium-tier gate ($29.90/month) for deep-dive remediation. * *User Intent:* Users value self-expression and personalized experiences. - **[Standard] Gamified Study Paths:** Curated question sequences based on exam history and syllabus requirements, serving as a retention loop to reduce decision fatigue. - **[Differentiator] PvP Duelos:** Real-time competitive question matches with Elo-based ranking, acting as an engagement loop to increase session frequency. * *User Intent:* Users are driven by competitive achievement and recognition. ## Market Position {#market-position} STUD currently holds the #168 Free position in the Brazilian Education category. The reliance on a premium-gated AI explanation model suggests a strategy focused on high-intent users rather than broad, ad-supported volume. ## Monetization Strategy - **Model:** Freemium - **Tiers:** Free tier (limited content, 15 questions/day), Standard tier (R$19.90/month or R$149.90/year), Premium tier (R$29.90/month or R$199.90/year) - **Analysis:** The freemium model anchors at R$29.90/month for Premium, gating unlimited AI explanations and advanced analytics to drive paid conversion. ## SWOT Analysis {#swot} **Core Strengths:** - AI-driven remediation creates a defensible barrier against static question banks. - Structured study paths reduce user cognitive load via automated sequencing. **Growth Levers:** - Localized content for niche exams could capture underserved segments. - Expanding PvP Duelos into league-based tournaments could increase long-term retention. ## What's New - **Latest (v1.1.3, 1 weeks ago):** Implemented bug fixes and UI refinements to the subscription plans screen. ## App Momentum (Active) {#momentum} - Ships ~3 releases per month. - Refined subscription plan screens recently. > **Cadence:** 3 total versions · 0 majors in last 6 months · 0 days since last update · 12 days avg between updates ## The "So What?" (Strategic Takeaway) {#so-what} STUD - Questões de Concursos is an education app that is free with in-app purchases. > **Bottom Line:** STUD's AI-driven remediation provides a clear differentiator, but the current freemium limits risk capping the user funnel. Pivoting the free-tier question limit to a more flexible model would unlock higher conversion rates by allowing users to experience the full value of the study path. **Best for:** Candidates preparing for Brazilian public service exams, specifically those targeting police, fiscal, and administrative roles. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] A/B test free-tier question limits because current 15-question caps may stifle conversion velocity → increase trial-to-paid conversion ### Outlook: Stable The Brazilian public service exam market is consolidating around apps that offer structured, AI-enhanced remediation. STUD is well-positioned to capture high-intent users if it can balance its premium pricing with a free-tier experience that effectively demonstrates the value of its AI explanations. - 🟢 Active release cadence (three updates in the last month) demonstrates a commitment to refining the subscription funnel and user experience → sustain growth. - ⚪ The current focus on subscription screen improvements suggests a pivot toward monetization optimization rather than broad feature expansion → stabilize revenue. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Total Reviews | 0 | | Confidence | Low | | Pricing Model | Freemium | | Platforms | iOS & Android | | Key Features | 3 analyzed | | Outlook | Stable | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **STUD - Questões de Concursos** (this app) | N/A/5 | N/A | Genius Tech LTDA | | [ALPA: Lernspiele für Kinder](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) | N/A/5 | N/A | ALPA Kids OU | | [ATPdigital (Legacy)](https://marlvel.ai/apps/atpdigital-legacy) | 2.0/5 | n/a | Bristol Groundschool International Ltd | | [Catbus Student](https://marlvel.ai/apps/catbus-student) | 4.1/5 | N/A | Cohota Join Stock Company | | [Chinese Tibetan Dictionary](https://marlvel.ai/apps/chinese-tibetan-dictionary) | 5.0/5 | Thrilled | Lobsang Monlam16922404891 | | [Insights to Behavior](https://marlvel.ai/apps/insights-to-behavior) | N/A/5 | N/A | Insights to Behavior | ## Company Profile - **Developer:** Genius Tech LTDA - **Website:** [https://stud.com.br](https://stud.com.br) - **Social:** [Instagram](https://www.instagram.com/studappoficial) · [YouTube](https://www.youtube.com/@studplataforma) ## Data Sources & Links - **App Store ID:** 6763767460 - **Google Play ID:** br.com.geniustech.stud - **Dev Site:** [Official Website](https://stud.com.br) - **Sources:** Developer website content, App store metadata. ## Related Intel Reports - [*ALPA: Lernspiele für Kinder*](https://marlvel.ai/apps/alpa-lernspiele-fur-kinder) (ALPA Kids OU) · N/A Rating - [*ATPdigital (Legacy)*](https://marlvel.ai/apps/atpdigital-legacy) (Bristol Groundschool International Ltd) · 2.0/5 Rating - [*Catbus Student*](https://marlvel.ai/apps/catbus-student) (Cohota Join Stock Company) · 4.1/5 Rating - [*Chinese Tibetan Dictionary*](https://marlvel.ai/apps/chinese-tibetan-dictionary) (Lobsang Monlam16922404891) · 5.0/5 Rating | Excellent Sentiment - [*Insights to Behavior*](https://marlvel.ai/apps/insights-to-behavior) (Insights to Behavior) · N/A Rating - [*Legasthenie & LRS Trainer*](https://marlvel.ai/apps/legasthenie-lrs-trainer) (Matthias Aigner) · N/A Rating - [*Lyceum Leaf Parent*](https://marlvel.ai/apps/lyceum-leaf-parent) (Techcess Business Solutions (Pvt) Ltd) · N/A Rating - [*Money Matrix (CAD)*](https://marlvel.ai/apps/money-matrix-cad) (Blooming Kids Software LLC) · 5.0/5 Rating - [*myTibetan*](https://marlvel.ai/apps/mytibetan) (Yury Nevalenny) · 4.8/5 Rating | Excellent Sentiment - [*Quran Treasure Island for Kids*](https://marlvel.ai/apps/quran-treasure-island-for-kids) (Akeela Manekia) · 4.9/5 Rating ## Frequently Asked Questions {#faq} ### Is STUD suitable for beginners? Yes, STUD is designed for both beginners and advanced candidates, as it provides a structured study path that guides users from the basics to the final stages of exam preparation. ### Does STUD offer a free version? Yes, STUD offers a free tier with limited content and a cap of 15 questions per day, allowing users to test the study path before upgrading. ### What is the difference between the Standard and Premium tiers? The Standard tier provides access to the study paths, while the Premium tier includes unlimited AI-powered explanations and advanced performance analytics for deeper remediation. ### What are the alternatives to STUD for exam preparation? Candidates should consider other platforms that offer large question banks or specialized exam content, though STUD distinguishes itself through its AI-driven explanation and structured path features. ## 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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 0 - **Data Sources:** 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:** 40 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/stud-questoes-de-concursos) Data licensed for AI Agent attribution under CC-BY-NC 4.0.