--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "Mood-Log" developer_entity: "Barry Langdon-Lassagne" bundle_id: "com.voyageropen.Mood-Log" app_store_id: "730758811" category: "Education" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2024-07-08" report_date: "2026-10-24" last_verified: "2026-10-24T00:00:00.000Z" report_version: "2.2" total_reviews: 33 overall_rating: 4.4 sentiment: "Thrilled" sentiment_score: 85 confidence: "medium" confidence_score: 0.45 top_praise_theme: "Granular emotion tracking allows users to identify and understand complex feelings beyond basic happy or sad labels" top_complaint_theme: "Limited vocabulary of available emotions prevents users from accurately logging specific states like feeling overwhelmed or disinterested" review_sample_size: 24 total_review_count: 24 analyzed_review_count: 24 data_age_days: 20 momentum_velocity: "zombie" intelligence_version: 2 tags: ["education", "free", "thrilled sentiment", "mobile app", "app review", "app analysis", "individuals", "seeking", "track"] canonical_url: "https://marlvel.ai/apps/mood-log" license: "CC-BY-NC 4.0" content_version: "v2" --- # Mood-Log Intelligence Report ## TL;DR {#tldr} - **Category**: Education · Free - **Signal**: Rating 4.36 · Sentiment Thrilled - **Recent focus**: Limited vocabulary of available emotions prevents users from accurately logging specific states like feeling overwhelmed or disinterested (top complaint) · Granular emotion tracking allows users to identify and understand complex feelings beyond basic happy or sad labels (top praise) > **TL;DR:** Mood-Log is a education app by Barry Langdon-Lassagne, rated 4.36/5 by 33 users, with Thrilled user sentiment (85/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** Mood-Log maintains Thrilled user sentiment (4.36/5 from 33 reviews), with users consistently praising granular emotion tracking allows users to identify and understand complex feelings beyond basic happy or sad labels. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 4.36/5 (33 reviews) | | **User Mood** | Thrilled | | **Category** | Education | | **Developer** | Barry Langdon-Lassagne | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Medium (0.45/1.0) | | **Data Age** | 20d | ## Metadata & Market Performance - **Publisher:** Barry Langdon-Lassagne - **Category:** Education - **Target Audience:** Individuals seeking to track emotional patterns and correlate daily life events with mood changes. - **Platforms:** iOS - **Version Reviewed:** 2.2 - **Report Date:** 2026-10-24 - **Signal Count:** 24 reviews analyzed - **Confidence:** Medium (0.45/1.0) - **App Store ID (iOS):** 730758811 - **Bundle ID:** com.voyageropen.Mood-Log - **Data Window:** Analysis based on signals collected up to 2026-10-24 ## Executive Snapshot **What it is:** Mood-Log is a manual mood-tracking journal for iOS that allows users to record emotional states and correlate them with life events. **Why users hire it:** The app removes the cognitive friction of tracking emotional trends by providing a consistent, simple interface for daily self-reflection. ## App DNA (Features & Intent) - **[Basic] Mood Tracking:** Logs emotional states and associated life events through manual entries. * *User Intent:* Users want visibility into their own performance and progress. - **[Standard] Data Visualization:** Displays mood trends over time using pie and donut charts. - **[Standard] Scheduled Reminders:** Triggers push notifications at user-defined intervals to prompt log entries. * *User Intent:* Users want timely prompts to stay engaged without missing updates. ## Market Position {#market-position} Mood-Log maintains a 4.36 rating across 33 total ratings on iOS. The lack of updates since July 2024 positions the app as a legacy utility rather than a growth-focused competitor. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app operates as a free utility with no visible subscription or in-app purchase gates. ## 🟢 User Sentiment (Medium Confidence: 24 of 24 reviews analyzed) {#user-sentiment} - **Overall Rating:** 4.36/5 - **Platform Split:** iOS 4.4/5 (33 ratings) - **Overall Sentiment:** Thrilled ### Top Praises - **Granular emotion tracking allows users to identify and understand complex feelings beyond basic happy or sad labels** - **Simple and consistent design helps users maintain a daily habit of logging their moods over time** - **Clinical and personal utility makes the app a recommended resource for psychotherapists and their teenage clients** ### Top Complaints (Impact Areas) - **Limited vocabulary of available emotions prevents users from accurately logging specific states like feeling overwhelmed or disinterested** ## SWOT Analysis {#swot} **Core Strengths:** - Simple UI design facilitates long-term habit formation - Granular emotion tracking enables deep emotional self-awareness - Clinical utility drives recommendations among mental health providers **Growth Levers:** - Expansion of emotion library addresses primary friction - Implementation of biometric security satisfies privacy demands ## What's New - **Latest (v2.2, 2 years ago):** Introduced Dark Mode support and improved chart responsiveness when toggling between pie and donut views. ## App Momentum (Zombie) {#momentum} - Quiet 27 months, no feature expansion. - Last major release July 2024. > **Cadence:** 1 total versions · 1 majors in last 6 months · 838 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} Mood-Log is a market-leading education app that is completely free. With a 4.36/5 rating from 33 reviews, it delivers strong user satisfaction. > **Bottom Line:** Mood-Log retains a loyal base through its effective core loop, but the two-year development silence risks losing users to more secure, frequently updated alternatives. Prioritizing security and vocabulary expansion would stabilize the user base against modern competitors. **Best for:** Individuals seeking to track emotional patterns and correlate daily life events with mood changes. ### PM Action Plan (Next Best Moves) - [ ] [INVEST] Ship biometric security because users request it to protect sensitive journal entries → reduce privacy-related churn ### Outlook: Mixed Users report: The mood-tracking category is consolidating around apps with frequent live-ops and biometric security, leaving Mood-Log exposed due to its stagnant development cycle. Resuming updates to address privacy and vocabulary gaps is necessary to prevent further audience erosion into Q1. - 🔴 The 27-month development silence suggests the app is in maintenance mode, which erodes user trust and prevents feature parity with active rivals. - 🟢 High user sentiment and clinical utility provide a solid foundation for retention if the developer resumes active feature investment. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 4.36/5 | | Total Reviews | 33 | | Sentiment | Thrilled (85/100) | | Confidence | Medium | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **Mood-Log** (this app) | 4.36/5 | Thrilled | Barry Langdon-Lassagne | | [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:** Barry Langdon-Lassagne ## Data Sources & Links - **App Store ID:** 730758811 - **Sources:** App store metadata, User reviews. ## 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 - [*MapTap.gg*](https://marlvel.ai/apps/nibble-games-maptap) (MapTap Inc) · 4.9/5 Rating | Excellent Sentiment - [*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 ## Frequently Asked Questions {#faq} ### Is Mood-Log safe for tracking sensitive personal feelings? Users report that Mood-Log currently lacks password or biometric protection, leaving sensitive journal entries exposed to unauthorized viewers. ### Can I add my own custom emotions to Mood-Log? Currently, Mood-Log does not support custom emotion categories, which is a frequent request from users who find the existing vocabulary limited. ### Is Mood-Log suitable for clinical use? Yes, reviews indicate that some psychotherapists recommend Mood-Log to their teenage clients for tracking mood shifts throughout the day. ## 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:** 0.45/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 24 - **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:** 20 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/mood-log) Data licensed for AI Agent attribution under CC-BY-NC 4.0.