--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Tasks.app" developer_entity: "DoorDash, Inc." bundle_id: "com.doordash.SensorDataCollector" app_store_id: "6759105023" category: "Business" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2026-04-05" report_date: "2026-04-07" report_version: "1.0.7" total_reviews: 44 overall_rating: 2.14 sentiment: "Frustrated" sentiment_score: 25 confidence: "high" confidence_score: 0.45 data_age_days: 63 intelligence_version: 2 nemesis: "Toloka" competitor_count: 11 tags: ["business", "free", "frustrated sentiment", "mobile app", "app review", "app analysis", "individuals", "specific", "regions"] canonical_url: "https://marlvel.ai/intel-report/business/com-doordash-sensordatacollector" license: "CC-BY-NC 4.0" last_verified: "2026-04-16T21:34:32.958Z" --- # Tasks.app App Audit > **TL;DR:** Tasks.app is a business app by DoorDash, Inc., rated 2.14/5 by 44 users, with Frustrated user sentiment (25/100), available on iOS. > > **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence. > **Key Insight:** Tasks.app faces Frustrated user sentiment (2.14/5 from 44 reviews), with authentication and login failures as the primary user concern. ## Metadata & Market Performance - **Publisher:** DoorDash, Inc. - **Category:** Business - **Target Audience:** Individuals in specific U.S. regions looking for flexible, micro-task based supplemental income by contributing data for AI development. - **Platforms:** iOS - **Version Audited:** 1.0.7 - **Audit Date:** 2026-04-07 - **Signal Count:** 44 reviews analyzed - **Confidence:** High (0.45/1.0) - **App Store ID (iOS):** 6759105023 - **Bundle ID:** com.doordash.SensorDataCollector - **Data Window:** Analysis based on signals collected up to 2026-04-07 ## Executive Snapshot Tasks.app by DoorDash is a micro-tasking platform focused on crowdsourcing video and audio data for AI training. It targets gig workers in specific US regions, offering supplemental income for authentic content. While it leverages DoorDash's brand, it currently suffers from severe technical issues and a declining market rank (#92 in its category). ## App DNA (Features & Intent) - **[Differentiator] AI Training Data Contribution:** Users contribute real-world, authentic video and audio content to help train AI systems. * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior. - **[Standard] Task Submission & Tracking:** Upload content via simple prompts and track submission status and earnings within the app. * *User Intent:* Users seek enhanced value through premium features. - **[Standard] Privacy Controls:** Content is shared only with explicit user consent and secure handling. * *User Intent:* Users seek social connection and competitive engagement with peers. ## Monetization Strategy - **Model:** Free - **Tiers:** Free to use; users earn money by completing tasks - **Analysis:** The app operates as a crowdsourced data collection platform where the 'payment' flows to the user rather than from them, incentivizing participation in AI model training. ## 🔴 User Sentiment (High Confidence: 44 reviews) {#user-sentiment} - **Overall Rating:** 2.14/5 - **Platform Split:** iOS 2.1/5 (44 ratings) - **Overall Sentiment:** Frustrated ### Top Praises - **Financial Incentive** | *Evidence:* "I made $50 in the first week!" - **Ease of Use** | *Evidence:* "Easy to use and understand." ### Top Complaints (Impact Areas) - **Authentication and Login Failures** | *Evidence:* "When I try to sign in it brings me back to the homepage and displays an error message." - **Technical Bugs and Camera Issues** | *Evidence:* "Gets stuck on 1st task & says Initializing camera." - **Ethical and Compensation Concerns** | *Evidence:* "You are being paid pennies to train the robots that will replace you" ## SWOT Analysis **Core Strengths:** - Backed by DoorDash's established brand and payment infrastructure - Clear value proposition in the high-demand AI training data market - Simple, prompt-based user interface **Critical Frictions:** - Critical technical bugs in authentication and camera functionality - Highly restrictive regional availability - Poor user sentiment and low App Store rating (2.1) **Growth Levers:** - Expansion into more U.S. regions and global markets - Exploiting the gap for high-quality authentic media data over simple surveys - Improving transparency and ethical messaging to increase user trust **Market Threats:** - Established global competitors like Toloka with superior stability - Public backlash against AI training ethics and low compensation - Declining App Store visibility and ranking (currently ↓21) ## Rivals Landscape {#rivals} > Competitive positioning identified by AI analysis of app features, category, and market signals. ### Tasks.app vs Toloka — Head to Head - **Toloka** by Toloka AI: Directly mirrors the core value proposition of earning money by completing micro-tasks to train AI models. ### Contenders (Strong Challengers) - **UserTesting** by UserTesting, Inc.: While focused on UX, it competes for the same user behavior: recording video/audio content for rewards. - **Field Agent** by Field Agent: A dominant player in the 'gig-for-data' space, requiring users to submit photos and videos of real-world environments. - **dscout** by dscout: Focuses on qualitative research through video 'missions,' attracting users interested in higher-effort media tasks. - **Userlytics** by Userlytics Corporation: Directly competes for users willing to record their screen and voice for monetary compensation. ### Peers (What They Do Better) - **Google Opinion Rewards** by Google LLC: The most popular entry-point for micro-tasking, though it focuses on surveys rather than media uploads. - **Streetspotr** by Streetspotr GmbH: European-centric micro-tasking app that mirrors the 'earn while you go' philosophy. - **Observa** by Observa: Real-time data collection app that pays users for photos and observations in their local area. - **Gigwalk** by Gigwalk: A veteran in the micro-task space connecting users with local data collection gigs. ### New Kids on the Block (What's Innovative) - **Influence** by Voxpopme: Rapidly growing app that specifically focuses on 'video surveys,' a direct format rival to Tasks.app. - **MultiPolls** by Bohemian Alchemist: Uses AI to match users with tasks, representing a more modern, tech-forward approach to micro-earnings. ## The "So What?" (Strategic Takeaway) {#so-what} Tasks.app is a challenged business app that is completely free. With a 2.14/5 rating from 44 reviews, it faces significant user friction. **Strategic Opportunity:** While Tasks.app benefits from backed by doordash's established brand and payment infrastructure, its vulnerability lies in critical technical bugs in authentication and camera functionality. A challenger could exploit this by focusing on expansion into more u.s. regions and global markets. **Best for:** Individuals in specific U.S. regions looking for flexible, micro-task based supplemental income by contributing data for AI development. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 2.14/5 | | Total Reviews | 44 | | Sentiment | Frustrated (25/100) | | Confidence | High | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Tasks.app** (this app) | 2.14/5 | Frustrated | DoorDash, Inc. | | [Groupon Merchant](https://marlvel.ai/intel-report/business/groupon-merchant) | 3.5/5 | Upset | Groupon, Inc. | | [RTP Sign](https://marlvel.ai/intel-report/business/rtp-sign) | N/A/5 | N/A | Active Network, LLC | | [Call Recorder: Voice Memos App](https://marlvel.ai/intel-report/business/call-recorder-voice-memos-app) | 4.1/5 | Upset | Municorn Limited | | [Audio Notebook: Sound Recorder](https://marlvel.ai/intel-report/business/audio-notebook-sound-recorder) | 3.8/5 | Mixed | Qrayon, LLC | | [Looker](https://marlvel.ai/intel-report/business/looker) | 5.0/5 | Frustrated | Google | ## Company Profile - **Developer:** DoorDash, Inc. ## Data Sources & Links - **App Store:** [View on Apple Store](https://apps.apple.com/us/app/tasks-app/id6759105023?uo=2) - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*Groupon Merchant*](https://marlvel.ai/intel-report/business/groupon-merchant) (Groupon, Inc.) — 3.5/5 Rating | Terrible Sentiment - [*RTP Sign*](https://marlvel.ai/intel-report/business/rtp-sign) (Active Network, LLC) — N/A Rating | N/A Sentiment - [*Call Recorder: Voice Memos App*](https://marlvel.ai/intel-report/business/call-recorder-voice-memos-app) (Municorn Limited) — 4.1/5 Rating | Terrible Sentiment - [*Audio Notebook: Sound Recorder*](https://marlvel.ai/intel-report/business/audio-notebook-sound-recorder) (Qrayon, LLC) — 3.8/5 Rating | Mixed Sentiment - [*Looker*](https://marlvel.ai/intel-report/business/looker) (Google) — 5.0/5 Rating | Negative Sentiment - [*SiliconValley Business Journal*](https://marlvel.ai/intel-report/business/siliconvalley-business-journal) (American City Business Journals) — 4.8/5 Rating | N/A Sentiment - [*GoDaddy Investor*](https://marlvel.ai/intel-report/business/godaddy-investor) (GoDaddy Mobile LLC) — 4.2/5 Rating | Terrible Sentiment - [*Scanner - PDFs & Documents*](https://marlvel.ai/intel-report/business/scanner-pdfs-documents) (ASN GROUP LLC) — 4.0/5 Rating | N/A Sentiment - [*SEMrush*](https://marlvel.ai/intel-report/business/semrush) (SEMrush) — 2.1/5 Rating | N/A Sentiment - [*monday.com - Work Platform*](https://marlvel.ai/intel-report/business/monday-com-work-platform) (monday.com Ltd.) — 4.8/5 Rating | Mixed 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:** 0.45/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 44 - **Data Sources:** user reviews, 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:** 1 day since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/intel-report/business/com-doordash-sensordatacollector) Data licensed for AI Agent attribution under CC-BY-NC 4.0.