---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Userlytics"
developer_entity: "Userlytics Corporation"
bundle_id: "com.userlytics.app"
app_store_id: "1438614608"
google_play_id: "com.userlytics.recorder"
category: "Business"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-05-13"
report_date: "2026-05-15"
last_verified: "2026-05-15T11:27:59.815Z"
report_version: "4.2.6"
total_reviews: 6943
overall_rating: 4.72
sentiment: "Excited"
sentiment_score: 85
confidence: "high"
confidence_score: 0.8
top_praise_theme: "Straightforward task-based payout system"
top_complaint_theme: "Technical hurdles during session uploads"
review_sample_size: 99
data_age_days: 34
momentum_velocity: "maintenance"
intelligence_version: 3
nemesis: "Dscout"
competitor_count: 3
tags: ["business", "freemium", "excited sentiment", "mobile app", "app review", "app analysis", "fortune", "companies,", "digital"]
canonical_url: "https://marlvel.ai/intel-report/business/userlytics"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Userlytics App Audit

## TL;DR {#tldr}

- **Category**: Business · Freemium
- **Signal**: Rating 4.72 · Sentiment Excited
- **Recent focus**: Technical hurdles during session uploads (top complaint) · Straightforward task-based payout system (top praise)

> **TL;DR:** Userlytics is a business app by Userlytics Corporation, rated 4.72/5 by 6.9K users, with Excited user sentiment (85/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Userlytics maintains Excited user sentiment (4.72/5 from 6.9K reviews), with users consistently praising straightforward task-based payout system.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 4.72/5 (6.9K reviews) |
| **User Mood** | Excited |
| **Category** | Business |
| **Developer** | Userlytics Corporation |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | High (0.8/1.0) |
| **Data Age** | 0d |

## Metadata & Market Performance
- **Publisher:** Userlytics Corporation
- **Category:** Business
- **Target Audience:** Fortune 500 companies, digital agencies, and startups seeking remote usability research.
- **Platforms:** iOS & Android
- **Version Audited:** 4.2.6
- **Audit Date:** 2026-05-15
- **Signal Count:** 99 reviews analyzed
- **Confidence:** High (0.8/1.0)
- **App Store ID (iOS):** 1438614608
- **Bundle ID:** com.userlytics.app
- **Google Play ID:** com.userlytics.recorder
- **Performance Trend:** Mixed
- **Data Window:** Analysis based on signals collected up to 2026-05-15

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Userlytics is a remote usability testing app that enables users to record screen, webcam, and audio sessions for digital asset feedback.
**Why users hire it:** Clients hire the platform to source rapid, remote user feedback, while testers use it to earn incentives through task-based usability sessions.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Remote Usability Testing:** Records webcam, screen, and audio of users interacting with digital assets.
- **[Differentiator] AI UX Analysis:** Automated analysis of user feedback and video sessions.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Differentiator] Global Participant Panel:** Access to over 2 million global participants.
<!-- /section:features -->

<!-- section:market-position -->
## Market Position {#market-position}

Userlytics maintains a 4.7 average rating across 6,943 total ratings, signaling strong tester satisfaction despite the competitive pressure from research-intensive platforms like Dscout.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free tier for testers (incentive-based), Paid B2B platform access for clients
- **Analysis:** B2B model uses unlimited team access to remove per-seat friction, while tester side uses task-based payouts.

<!-- section:sentiment -->
## 🟢 User Sentiment (High Confidence: 6.9K reviews) {#user-sentiment}
- **Overall Rating:** 4.72/5
- **Platform Split:** iOS 4.7/5 (2.9K ratings) | Android 4.8/5 (4K ratings)
- **Overall Sentiment:** Excited

### Top Praises
- **Straightforward task-based payout system**

### Top Complaints (Impact Areas)
- **Technical hurdles during session uploads**

<!-- /section:sentiment -->
<!-- section:swot -->
## SWOT Analysis {#swot}

**Core Strengths:**
- Global panel of 2 million participants functions as a B2B distribution moat
- AI-driven session analysis reduces manual synthesis time for researchers

**Critical Frictions:**
- Technical session-upload failures erode recording workflow reliability
- High-frequency tester complaints regarding invitation volume

**Growth Levers:**
- Untapped education partnerships for B2B distribution
- Integration of wearable-testing workflows to expand digital asset scope

**Market Threats:**
- Dscout’s aggressive 16-update cadence in six months
- Fiverr’s freelance marketplace model bundling usability testing with design services

<!-- /section:swot -->
## Recent Changes (v2 → v3) {#recent-changes}

The platform transitioned from reporting recording crashes to session-upload failures as the primary technical bottleneck, while sentiment metrics improved despite persistent operational friction.

**Overall trend**: Mixed
**Compared at**: 2026-05-15

### High-impact changes
- **[Improved] Sentiment Score Increase** (sentiment) — Sentiment score rose from 55 to 85, shifting the overall sentiment classification from 'mixed' to 'positive'.
- **[Shifted] Primary Technical Complaint** (sentiment) — Top complaint shifted from 'recording software crashes' to 'technical session-upload failures'.

### Medium-impact changes
- **[Added] Invitation Volume Weakness** (swot) — Added 'High-frequency tester complaints regarding invitation volume' as a new weakness in the SWOT analysis.
- **[Shifted] Competitive Landscape Update** (positioning) — Replaced 'Userfeel' with 'Survey Junkie' in the same-space competitor category.

<!-- section:rivals -->
## Rivals Landscape {#rivals}

> Competitive positioning identified by AI analysis of app features, category, and market signals.

### Userlytics vs Dscout — Head to Head
- **[Dscout](https://marlvel.ai/intel-report/lifestyle/dscout)** by dscout: Dscout is the direct market leader in qualitative user research, matching Userlytics' core mission of remote session recording and digital asset testing.
  - **Key differences:**
    - Maintains a high-frequency release cadence of 16 updates in six months, signaling aggressive feature iteration.
    - Focuses on longitudinal diary studies and mission-based research, whereas Userlytics centers on standard usability testing sessions.
    - Leverages a massive, established community of professional research participants that creates a significant network effect moat.
  - **Where Userlytics wins:**
    - ✅ Offers a more streamlined, focused interface for quick usability testing without the complexity of diary-study workflows.
    - ✅ Provides a more direct, simplified path for casual users to start earning money through immediate session recording.
  - **Where Dscout wins:**
    - ❌ Supports complex, multi-day longitudinal research missions that allow for deeper behavioral insights than single-session tests.
    - ❌ High release velocity ensures rapid integration of new research methodologies and platform stability improvements.
  - **Verdict:** Userlytics must double down on its core usability testing simplicity to defend against Dscout's feature-heavy, research-intensive platform expansion.

### Peers (What They Do Better)
- **[Survey Junkie](https://marlvel.ai/intel-report/lifestyle/survey-junkie)** by Survey Junkie: Operates in the adjacent 'get paid for feedback' space, though it lacks the specialized usability testing and screen-recording features of Userlytics.
  - Focuses exclusively on high-volume, low-friction survey completion rather than deep-dive usability or screen-recording sessions.
  - Utilizes a massive user base to provide near-instant data collection for simple opinion-based research tasks.

### New Kids on the Block (What's Innovative)
- **[Fiverr - Freelance Services](https://marlvel.ai/intel-report/business/com-fiverr-fiverr)** by Fiverr International Ltd.: While a broad marketplace, Fiverr is increasingly used by companies to source specialized UX testers, creating a platform-based competitive threat.
  - Provides a massive, multi-category freelance ecosystem that allows clients to bundle usability testing with other design services.
  - Enables direct negotiation and custom project scopes between testers and clients, bypassing the rigid structure of dedicated testing apps.

<!-- /section:rivals -->
<!-- section:whats-new -->
## What's New

- **Latest (v4.1.9, 1 months ago):** General bug fixes and performance improvements.
<!-- /section:whats-new -->

<!-- section:momentum -->
## App Momentum (Maintenance) {#momentum}

- Maintains high 4.7 average rating.
- Ships regular stability updates.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 2 days since last update · 42 days avg between updates

<!-- /section:momentum -->

<!-- section:so-what -->
## The "So What?" (Strategic Takeaway) {#so-what}

Userlytics is a market-leading business app that is free with in-app purchases.
With a 4.72/5 rating from 6.9K reviews, it delivers strong user satisfaction.

<!-- speakable-start -->
> **Bottom Line:** Userlytics holds its category lead through a massive participant panel but bleeds tester loyalty to technical upload failures, so revenue growth hinges on stabilizing the recording workflow to ensure data quality for enterprise clients.
<!-- speakable-end -->

**Best for:** Fortune 500 companies, digital agencies, and startups seeking remote usability research.

<!-- section:pm-actions -->
### PM Action Plan (Next Best Moves)

- [ ] [INVEST] [HIGH IMPACT] Rebuild session-upload logic because upload failures are the top tester complaint → increase session completion rate — *Upload failures are the primary technical friction point identified in user feedback.* _(trade-off: deprioritize Pause the AI-analysis feature expansion — session reliability is the prerequisite for data quality.)_
- [ ] [MAINTAIN] [MEDIUM IMPACT] Audit invitation algorithm because invitation frequency is a recurring tester complaint → improve panel retention — *Tester sentiment data highlights invitation volume as a key frustration point.* _(trade-off: deprioritize Same-quarter capacity available — no major lever displaced.)_
<!-- /section:pm-actions -->

<!-- section:feature-gaps -->
### Feature Gaps vs Competitors

- Longitudinal diary-study workflows (available in Dscout but missing here)
<!-- /section:feature-gaps -->

<!-- section:outlook -->
### Outlook: Stable

The remote usability market is consolidating around platforms that offer both speed and deep behavioral insights. Userlytics remains advantaged by its panel size, but the lack of longitudinal research features leaves it exposed to Dscout's feature-heavy expansion, so the PM must prioritize session reliability to defend the enterprise client base.

- 🔴 Technical upload failures in the latest version erode the tester-side retention loop, which compounds the rating drag visible in recent feedback.
- 🟢 AI-driven session analysis provides a clear differentiator against low-cost survey competitors, allowing for higher B2B pricing power.
<!-- /section:outlook -->

<!-- /section:so-what -->

<!-- section:metrics -->
## Key Metrics Summary

| Metric | Value |
| :--- | :--- |
| Overall Rating | 4.72/5 |
| Total Reviews | 6.9K |
| Sentiment | Excited (85/100) |
| Confidence | High |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Mixed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Userlytics** (this app) | 4.72/5 | Excited | Userlytics Corporation |
| [Fiverr - Freelance Services](https://marlvel.ai/intel-report/business/com-fiverr-fiverr) | 4.9/5 | Mixed | Fiverr International Ltd. |
| [Dscout](https://marlvel.ai/intel-report/lifestyle/dscout) | 4.4/5 | N/A | dscout |
| [Survey Junkie](https://marlvel.ai/intel-report/lifestyle/survey-junkie) | 4.5/5 | Frustrated | Survey Junkie |
| [Groupon Merchant](https://marlvel.ai/intel-report/business/groupon-merchant) | 3.0/5 | N/A | Groupon, Inc. |
| [Customer Management - Contacts](https://marlvel.ai/intel-report/business/customer-management-contacts) | 4.3/5 | N/A | 永文 胡 |

## Company Profile
- **Developer:** Userlytics Corporation
- **Website:** [https://www.userlytics.com/testers/](https://www.userlytics.com/testers/)
- **Social:** [Instagram](https://www.instagram.com/userlyticscorporation) · [Facebook](https://www.facebook.com/userlytics) · [X/Twitter](https://twitter.com/userlytics) · [YouTube](https://www.youtube.com/user/Userlytics) · [LinkedIn](https://www.linkedin.com/company/userlytics-corporation)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/userlytics/id1438614608?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.userlytics.recorder&hl=en&gl=us)
- **Dev Site:** [Official Website](https://www.userlytics.com/testers/)
- **Sources:** Developer website content, About us / company information, App store metadata, User reviews.

## Related Intel Reports
- [*Fiverr - Freelance Services*](https://marlvel.ai/intel-report/business/com-fiverr-fiverr) (Fiverr International Ltd.) — 4.9/5 Rating | Mixed Sentiment
- [*Dscout*](https://marlvel.ai/intel-report/lifestyle/dscout) (dscout) — 4.4/5 Rating | N/A Sentiment
- [*Survey Junkie*](https://marlvel.ai/intel-report/lifestyle/survey-junkie) (Survey Junkie) — 4.5/5 Rating | Negative Sentiment
- [*Groupon Merchant*](https://marlvel.ai/intel-report/business/groupon-merchant) (Groupon, Inc.) — 3.0/5 Rating | N/A Sentiment
- [*Customer Management - Contacts*](https://marlvel.ai/intel-report/business/customer-management-contacts) (永文 胡) — 4.3/5 Rating | N/A Sentiment
- [*Cisco Events App*](https://marlvel.ai/intel-report/business/cisco-events-app) (Cisco) — 4.3/5 Rating | N/A Sentiment
- [*Hours Tracker - Salarybook*](https://marlvel.ai/intel-report/business/hours-tracker-salarybook) (Centriqo) — 4.5/5 Rating | N/A Sentiment
- [*Subnet Calc*](https://marlvel.ai/intel-report/business/subnet-calc) (Swipe Stack Ltd) — 4.8/5 Rating | N/A Sentiment
- [*Alloy Fleet+*](https://marlvel.ai/intel-report/business/alloy-fleet) (Cumberland Farms) — N/A Rating | N/A Sentiment
- [*AA Crew Check In*](https://marlvel.ai/intel-report/business/aa-crew-check-in) (American Airlines) — 1.6/5 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:** 0.8/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 99
- **Data Sources:** user reviews, developer website, company about page, 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/business/userlytics)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.