--- schema_type: "SoftwareApplication" entity_type: "Mobile Application" app_name: "UmSo - Reduce Filler Words" developer_entity: "Raziqa Langundi" bundle_id: "com.zeeqa.ImproveSpeech" app_store_id: "6755098332" category: "Productivity" primary_platform: "ios" primary_monetization: "Free" offline_capable: false market_region: "US" platforms: "iOS" app_last_updated: "2025-11-21" report_date: "2026-10-27" last_verified: "2026-10-27T00:00:00.000Z" report_version: "1.0" total_reviews: 2 overall_rating: 3 sentiment: "Mixed" sentiment_score: 50 confidence: "low" confidence_score: 0.3 top_complaint_theme: "The filler word detection algorithm incorrectly flags common conversational phrases as filler words during analysis" review_sample_size: 2 total_review_count: 2 analyzed_review_count: 2 data_age_days: 19 momentum_velocity: "zombie" intelligence_version: 2 tags: ["productivity", "free", "mixed sentiment", "mobile app", "app review", "app analysis", "individuals", "looking", "improve"] canonical_url: "https://marlvel.ai/apps/umso-reduce-filler-words" license: "CC-BY-NC 4.0" content_version: "v2" --- # UmSo - Reduce Filler Words Intelligence Report ## TL;DR {#tldr} - **Category**: Productivity · Free - **Signal**: Rating 3 · Sentiment Mixed - **Recent focus**: The filler word detection algorithm incorrectly flags common conversational phrases as filler words during analysis (top complaint) > **TL;DR:** UmSo - Reduce Filler Words is a productivity app by Raziqa Langundi, rated 3/5 by 2 users, with Mixed user sentiment (50/100), available on iOS. > > **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence. > **Key Insight:** UmSo - Reduce Filler Words has Mixed user sentiment with a 3/5 rating from 2 reviews. ## Quick Facts | Fact | Value | | :--- | :--- | | **Rating** | 3/5 (2 reviews) | | **User Mood** | Mixed | | **Category** | Productivity | | **Developer** | Raziqa Langundi | | **Pricing** | Free | | **Platforms** | iOS | | **Confidence** | Low (0.3/1.0) | | **Data Age** | 19d | ## Metadata & Market Performance - **Publisher:** Raziqa Langundi - **Category:** Productivity - **Target Audience:** Individuals looking to improve public speaking skills for professional or social scenarios. - **Platforms:** iOS - **Version Reviewed:** 1.0 - **Report Date:** 2026-10-27 - **Signal Count:** 2 reviews analyzed - **Confidence:** Low (0.3/1.0) - **App Store ID (iOS):** 6755098332 - **Bundle ID:** com.zeeqa.ImproveSpeech - **Data Window:** Analysis based on signals collected up to 2026-10-27 ## Executive Snapshot **What it is:** UmSo is a speech-practice app for iOS that provides real-time detection of filler words during presentations and interviews. **Why users hire it:** The app removes the cognitive friction of self-monitoring during speech by providing immediate, automated cues when filler words occur. ## App DNA (Features & Intent) - **[Differentiator] Real-time Filler Word Detection:** Detects filler words like um and uh during live speech. - **[Differentiator] Multi-modal Alerts:** Provides immediate feedback via vibration, sound, and visual cues during speech practice. * *User Intent:* Users want timely prompts to stay engaged without missing updates. - **[Standard] Scenario-based Practice:** Includes specific modes for job interviews, presentations, and toasts. ## Market Position {#market-position} UmSo occupies a niche segment of the productivity category with a 3.0-star rating across 2 total reviews. The lack of recent updates since November 2025 signals a maintenance-only posture that leaves the app vulnerable to more active competitors. ## Monetization Strategy - **Model:** Free - **Tiers:** Free - **Analysis:** The app is currently listed as free with no visible in-app purchase or subscription tiers. ## 🟡 User Sentiment (Low Confidence: 2 of 2 reviews analyzed) {#user-sentiment} - **Overall Rating:** 3/5 - **Platform Split:** iOS 3.0/5 (2 ratings) - **Overall Sentiment:** Mixed ### Top Complaints (Impact Areas) - **The filler word detection algorithm incorrectly flags common conversational phrases as filler words during analysis** ## SWOT Analysis {#swot} **Core Strengths:** - Multi-modal feedback provides immediate, non-intrusive cues during speech practice - Scenario-based practice modes map directly to common professional user needs **Growth Levers:** - AI-driven speech analysis could distinguish natural cadence from filler words - Structured curriculum-based modules would provide the depth users currently find missing ## App Momentum (Zombie) {#momentum} - Quiet 11 months, no feature expansion. - Last major release November 2025. > **Cadence:** 1 total versions · 1 majors in last 6 months · 339 days since last update ## The "So What?" (Strategic Takeaway) {#so-what} UmSo - Reduce Filler Words is a productivity app that is completely free. It holds a 3/5 rating from 2 reviews. > **Bottom Line:** UmSo requires a fundamental rebuild of its detection logic to address the phantom-word reporting that currently drives negative sentiment. Until the engine distinguishes natural speech from filler, the app will struggle to retain users beyond the initial download. **Best for:** Individuals looking to improve public speaking skills for professional or social scenarios. ### PM Action Plan (Next Best Moves) - [ ] [PIVOT] Rebuild detection engine because current logic flags natural speech as filler → improve sentiment baseline ### Outlook: Mixed The speech-refinement market is shifting toward AI-native tools that offer nuanced analysis, leaving UmSo's rigid detection logic exposed. Without a significant update to the core engine, the app will continue to lose ground to more accurate, frequently updated alternatives. - 🔴 Detection engine inaccuracies (false positives, phantom words) erode user trust, which compounds the rating drag already visible on the platform. - 🔴 The 11-month update gap suggests the product is in maintenance mode, preventing the resolution of core accuracy complaints. ## Key Metrics Summary | Metric | Value | | :--- | :--- | | Overall Rating | 3/5 | | Total Reviews | 2 | | Sentiment | Mixed (50/100) | | Confidence | Low | | Pricing Model | Free | | Platforms | iOS | | Key Features | 3 analyzed | | Outlook | Mixed | ## Competitor Comparison | App | Rating | Sentiment | Developer | | :--- | :--- | :--- | :--- | | **UmSo - Reduce Filler Words** (this app) | 3/5 | Mixed | Raziqa Langundi | | [HitWave](https://marlvel.ai/apps/ciendor-applications-hitwave) | 2.5/5 | Mixed | Ciendor Holdings Corp. LTD | | [ChatGPT](https://marlvel.ai/apps/chatgpt) | 4.8/5 | n/a | OpenAI OpCo, LLC | | [VPN 360: Fast & Secure Proxy](https://marlvel.ai/apps/co-infinitysoft-vpn360) | 4.5/5 | Mixed | Pango GmbH | | [VPN - Super Unlimited Proxy](https://marlvel.ai/apps/vpn-super-unlimited-proxy) | 4.7/5 | Thrilled | Mobile Jump Pte Ltd | | [Bookmarks - Send To Self](https://marlvel.ai/apps/bookmarks-send-to-self) | 4.4/5 | Excited | GILI | ## Company Profile - **Developer:** Raziqa Langundi ## Data Sources & Links - **App Store ID:** 6755098332 - **Sources:** App store metadata, User reviews. ## Related Intel Reports - [*HitWave*](https://marlvel.ai/apps/ciendor-applications-hitwave) (Ciendor Holdings Corp. LTD) · 2.5/5 Rating - [*ChatGPT*](https://marlvel.ai/apps/chatgpt) (OpenAI OpCo, LLC) · 4.8/5 Rating - [*VPN 360: Fast & Secure Proxy*](https://marlvel.ai/apps/co-infinitysoft-vpn360) (Pango GmbH) · 4.5/5 Rating - [*VPN - Super Unlimited Proxy*](https://marlvel.ai/apps/vpn-super-unlimited-proxy) (Mobile Jump Pte Ltd) · 4.7/5 Rating | Excellent Sentiment - [*Bookmarks - Send To Self*](https://marlvel.ai/apps/bookmarks-send-to-self) (GILI) · 4.4/5 Rating | Positive Sentiment - [*Clean Swell*](https://marlvel.ai/apps/clean-swell) (Ocean Conservancy) · 3.9/5 Rating - [*Data Tree Manager*](https://marlvel.ai/apps/data-tree-manager) (Vsevolod Migdisov) · N/A Rating - [*DoughLab - Baking Recipe Lab*](https://marlvel.ai/apps/doughlab-baking-recipe-lab) (Jeong-soo Park) · N/A Rating - [*Google Gemini*](https://marlvel.ai/apps/google-gemini-1) (Google LLC) · 4.6/5 Rating | Positive Sentiment - [*Infomaniak Euria*](https://marlvel.ai/apps/infomaniak-euria) (Infomaniak Network SA) · 4.8/5 Rating ## Frequently Asked Questions {#faq} ### Is UmSo effective for improving public speaking? Current user reviews indicate the app's filler word detection is unreliable, often flagging natural speech as filler. While the multi-modal feedback is a unique concept, the lack of accuracy currently limits its effectiveness for serious skill development. ### Does UmSo charge for its speech practice features? UmSo is currently listed as a free app with no visible in-app purchases or subscription tiers. ### What are the main limitations of UmSo's filler detection? Users report that the app frequently misidentifies common conversational phrases as filler words and occasionally registers phantom filler words that were never spoken during the recording. ### Are there better alternatives for reducing filler words? Users seeking more reliable feedback should consider general-purpose voice-to-text tools or AI-powered speech coaches that offer more nuanced analysis of natural speech patterns compared to UmSo's current detection engine. ## 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:** 0.3/1.0 (based on review volume, data source diversity, and signal quality) - **Reviews Analyzed:** 2 - **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:** 19 days since last refresh --- © 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/umso-reduce-filler-words) Data licensed for AI Agent attribution under CC-BY-NC 4.0.