---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Incident Reporting"
developer_entity: "Work Metrics Pty Ltd"
bundle_id: "com.au.healthsafetyworks.Incident-App"
app_store_id: "519549070"
google_play_id: "com.whirlpool.incidentreporting"
category: "Business"
primary_platform: "ios"
primary_monetization: "Freemium"
offline_capable: true
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2025-08-08"
report_date: "2026-06-18"
last_verified: "2026-06-18T00:00:00.000Z"
report_version: "7.7"
total_reviews: 2
overall_rating: 3
sentiment: "Thrilled"
sentiment_score: 90
confidence: "low"
confidence_score: 0.45
top_praise_theme: "General satisfaction with the application performance and utility during initial usage sessions"
review_sample_size: 1
total_review_count: 1
analyzed_review_count: 1
data_age_days: 59
momentum_velocity: "zombie"
intelligence_version: 4
nemesis: "See Something Say Something"
competitor_count: 7
tags: ["business", "freemium", "thrilled sentiment", "mobile app", "app review", "app analysis", "workplace", "safety", "managers"]
canonical_url: "https://marlvel.ai/apps/incident-reporting"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Incident Reporting Intelligence Report

## TL;DR {#tldr}

- **Category**: Business · Freemium
- **Signal**: Rating 3 · Sentiment Thrilled
- **Recent focus**: General satisfaction with the application performance and utility during initial usage sessions (top praise)

> **TL;DR:** Incident Reporting is a business app by Work Metrics Pty Ltd, rated 3/5 by 2 users, with Thrilled user sentiment (90/100), available on iOS & Android.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Incident Reporting maintains Thrilled user sentiment (3/5 from 2 reviews), with users consistently praising general satisfaction with the application performance and utility during initial usage sessions.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Rating** | 3/5 (2 reviews) |
| **User Mood** | Thrilled |
| **Category** | Business |
| **Developer** | Work Metrics Pty Ltd |
| **Pricing** | Freemium |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.45/1.0) |
| **Data Age** | 59d |

## Metadata & Market Performance
- **Publisher:** Work Metrics Pty Ltd
- **Category:** Business
- **Target Audience:** Workplace safety managers and organizations requiring custom incident, hazard, and injury reporting workflows.
- **Platforms:** iOS & Android
- **Version Reviewed:** 7.7
- **Report Date:** 2026-06-18
- **Signal Count:** 1 review analyzed
- **Confidence:** Low (0.45/1.0)
- **App Store ID (iOS):** 519549070
- **Bundle ID:** com.au.healthsafetyworks.Incident-App
- **Google Play ID:** com.whirlpool.incidentreporting
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-06-18

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Incident Reporting is a business utility app for recording and submitting workplace incidents or near-misses via mobile devices.
**Why users hire it:** Users hire the app to digitize field-based safety data, ensuring compliance and real-time notification for safety managers.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] Custom Form Builder:** Point-and-click interface for creating bespoke incident report forms and registries
  * *User Intent:* Users value self-expression and personalized experiences.
- **[Differentiator] AI-Powered Assistant:** Natural language query tool for incident metrics and analysis
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Offline Incident Submission:** Data capture and submission capability for field use without active network connectivity
  * *User Intent:* Users want uninterrupted access without internet dependency.
<!-- /section:features -->

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

The app operates in the Business category with limited public visibility, evidenced by a 3.0-star rating on iOS and zero ratings on Android. This low engagement suggests the platform functions primarily as a private tool for existing enterprise clients rather than a consumer-facing utility.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Freemium
- **Tiers:** Free app for live incident reporting, Customizable enterprise incident management system (pricing via demo/quote)
- **Analysis:** Freemium model uses the free mobile app as an acquisition funnel for the paid, customizable B2B incident management platform.

<!-- section:sentiment -->
## 🟢 User Sentiment (Low Confidence: 1 of 1 review analyzed) {#user-sentiment}
- **Overall Rating:** 3/5
- **Platform Split:** iOS 3.0/5 (2 ratings)
- **Overall Sentiment:** Thrilled

### Top Praises
- **General satisfaction with the application performance and utility during initial usage sessions**

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

**Core Strengths:**
- Custom form builder enables enterprise-specific workflows that increase switching costs
- AI-powered assistant provides high-value data insights to justify enterprise subscription renewals

**Growth Levers:**
- Education and industrial partnerships remain untapped as B2B distribution channels


<!-- /section:swot -->
## Recent Changes (v3 → v4) {#recent-changes}

The report reflects a strategic pivot toward enterprise-grade utility and a more comprehensive mapping of the competitive landscape.

**Overall trend**: Stable
**Compared at**: 2026-06-18

### High-impact changes
- **[Shifted] SWOT Analysis Refinement** (swot)

### Medium-impact changes
- **[Shifted] Executive Summary Narrative** (positioning)
- **[Removed] Threat Consolidation** (swot)

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

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

### Incident Reporting vs See Something Say Something
- **[See Something Say Something](https://marlvel.ai/apps/see-something-say-something)** by See Semething Say Something: This app competes directly by providing a dedicated channel for reporting incidents and observations, targeting the same safety-conscious user base.
  - **Key differences:**
    - Offers anonymous reporting capabilities which significantly lowers the barrier for sensitive incident submissions
    - Integrates directly with 24/7 crisis centers to provide immediate professional intervention management services
    - Features a specialized workflow for intervention management that goes beyond simple incident logging

### Contenders (Strong Challengers)
- **[Omnigo Mobile Software](https://marlvel.ai/apps/omnigo-mobile-software)** by Omnigo Software LLC: Omnigo competes by offering a professional-grade reporting suite that targets the same business and safety management market as this app.
  - Supports offline data capture, ensuring critical reports are saved even without active network connectivity
  - Includes specialized mobile citation printing capabilities for professional security and law enforcement workflows

### Peers (What They Do Better)
- **[TempTrak Logger](https://marlvel.ai/apps/temptrak-logger)** by Cooper-Atkins Corporation: This app shares the business utility space by focusing on data logging and reporting, though it is specialized for temperature monitoring.
  - Integrates Bluetooth Low Energy scanning for automated data collection from external hardware sensors
  - Provides advanced admin configuration controls for managing complex compliance and reporting requirements
- **[POP Tracker Installer](https://marlvel.ai/apps/pop-tracker-installer)** by POP Tracker: It competes in the utility space by providing a structured mobile workflow for field-based reporting and verification.
  - Utilizes GPS and time stamping to provide verifiable proof of location for every submission
  - Includes integrated route mapping to optimize field operations and verify site visit accuracy
- **[myVibrometer HD](https://marlvel.ai/apps/myvibrometer-hd)** by Gianluca Natalini: This app overlaps in the data logging and visualization category, serving users who need to record and analyze physical events.
  - Offers multi-sensor data logging capabilities that provide deeper technical insights than standard text reports
  - Features automated analytics and data visualization tools to interpret recorded events without manual effort
- **[Mix Tank - Tank Mixing Order](https://marlvel.ai/apps/mix-tank-tank-mixing-order)** by Precision Laboratories, Inc.: It serves as a functional peer by providing a guided reporting and logging workflow for specific industrial or agricultural tasks.
  - Provides a comprehensive mix guide and safety precautions to prevent errors during operational tasks
  - Integrates real-time weather data to inform reporting and operational decisions in the field

### New Kids on the Block (What's Innovative)
- **[Recall for YouTube](https://marlvel.ai/apps/recall-for-youtube)** by KAI WANG: This newcomer represents a shift toward local-first, automated logging utilities that could influence user expectations for incident recording apps.
  - Prioritizes local-first storage to ensure user data privacy and accessibility without relying on cloud servers

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

- **Latest (v0.025, 9 months ago):** Resolved an issue with account creation.
- **Last Major (v7.7, 1 years ago):** Introduced offline sending capabilities and smart form fields.
<!-- /section:whats-new -->

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

- Shipped offline incident submission capability.
- Added AI-powered natural language assistant.
- Updated environmental incident modules.

> **Cadence:** 2 total versions · 0 majors in last 6 months · 279 days since last update · 129 days avg between updates

<!-- /section:momentum -->

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

Incident Reporting is a market-leading business app that is free with in-app purchases.
With a 3/5 rating from 2 reviews, it delivers strong user satisfaction.

<!-- speakable-start -->
> **Bottom Line:** The app provides a functional bridge between field data and corporate compliance, but the lack of public engagement limits its growth, so the PM should prioritize Android funnel auditing to validate the platform's utility beyond a closed enterprise user base.
<!-- speakable-end -->

**Best for:** Workplace safety managers and organizations requiring custom incident, hazard, and injury reporting workflows.

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

- [ ] [PIVOT] Audit Android onboarding because zero ratings suggest a broken funnel → increase install-to-review conversion
<!-- /section:pm-actions -->

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


- Anonymous reporting (available in See Something Say Something but missing here)
<!-- /section:feature-gaps -->

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

The market for field-based reporting is consolidating around professional-grade suites that offer integrated crisis response. The app's current posture is exposed, as its reliance on a freemium funnel is not generating the public-facing momentum needed to compete with established enterprise players.

- 🟢 Recent feature additions like offline submission and AI-powered analytics show active development, which sustains the platform's value for enterprise clients.
- 🔴 The lack of Android engagement and low iOS rating volume suggests the app is failing to capture organic market share.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Overall Rating | 3/5 |
| Total Reviews | 2 |
| Sentiment | Thrilled (90/100) |
| Confidence | Low |
| Pricing Model | Freemium |
| Platforms | iOS & Android |
| Key Features | 3 analyzed |
| Trend | Stable |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Incident Reporting** (this app) | 3/5 | Thrilled | Work Metrics Pty Ltd |
| [Recall for YouTube](https://marlvel.ai/apps/recall-for-youtube) | N/A/5 | N/A | KAI WANG |
| [myVibrometer HD](https://marlvel.ai/apps/myvibrometer-hd) | 3.0/5 | N/A | Gianluca Natalini |
| [See Something Say Something](https://marlvel.ai/apps/see-something-say-something) | 2.1/5 | n/a | See Semething Say Something |
| [TempTrak Logger](https://marlvel.ai/apps/temptrak-logger) | 3.7/5 | N/A | Cooper-Atkins Corporation |
| [Omnigo Mobile Software](https://marlvel.ai/apps/omnigo-mobile-software) | 3.0/5 | n/a | Omnigo Software LLC |

## Company Profile
- **Developer:** Work Metrics Pty Ltd
- **Website:** [https://www.incidentreport.com.au](https://www.incidentreport.com.au)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/incident-reporting/id519549070?uo=4)
- **Google Play:** [View on Google Play](https://play.google.com/store/apps/details?id=com.whirlpool.incidentreporting&hl=en&gl=us)
- **Dev Site:** [Official Website](https://www.incidentreport.com.au)
- **Sources:** Developer website content, App store metadata, User reviews.

## Related Intel Reports
- [*Recall for YouTube*](https://marlvel.ai/apps/recall-for-youtube) (KAI WANG) · N/A Rating
- [*myVibrometer HD*](https://marlvel.ai/apps/myvibrometer-hd) (Gianluca Natalini) · 3.0/5 Rating
- [*See Something Say Something*](https://marlvel.ai/apps/see-something-say-something) (See Semething Say Something) · 2.1/5 Rating
- [*TempTrak Logger*](https://marlvel.ai/apps/temptrak-logger) (Cooper-Atkins Corporation) · 3.7/5 Rating
- [*Omnigo Mobile Software*](https://marlvel.ai/apps/omnigo-mobile-software) (Omnigo Software LLC) · 3.0/5 Rating
- [*POP Tracker Installer*](https://marlvel.ai/apps/pop-tracker-installer) (POP Tracker) · 3.4/5 Rating
- [*Mix Tank - Tank Mixing Order*](https://marlvel.ai/apps/mix-tank-tank-mixing-order) (Precision Laboratories, Inc.) · 2.7/5 Rating
- [*Groupon Merchant*](https://marlvel.ai/apps/groupon-merchant) (Groupon, Inc.) · 3.0/5 Rating
- [*Hours Tracker - Salarybook*](https://marlvel.ai/apps/hours-tracker-salarybook) (Centriqo) · 4.5/5 Rating
- [*Cisco Events App*](https://marlvel.ai/apps/cisco-events-app) (Cisco) · 4.3/5 Rating

## 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:** 1
- **Data Sources:** user reviews, 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:** 59 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/incident-reporting)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.