---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Doing Windows"
developer_entity: "Hendricus Morren"
bundle_id: "com.hendricus.doingwindowsios"
app_store_id: "1147146782"
category: "Business"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2023-04-22"
report_date: "2026-05-19"
last_verified: "2026-05-19T11:41:09.970Z"
report_version: "3.5.1"
total_reviews: 0
confidence: "low"
confidence_score: 0.2
data_age_days: 44
momentum_velocity: "zombie"
intelligence_version: 2
tags: ["business", "paid", "mobile app", "app review", "app analysis", "small", "medium-sized", "business"]
canonical_url: "https://marlvel.ai/apps/com-hendricus-doingwindowsios"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Doing Windows App Audit

## TL;DR {#tldr}

- **Category**: Business · Paid

> **TL;DR:** Doing Windows is a business app by Hendricus Morren, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Doing Windows is a business app by Hendricus Morren.
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## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Business |
| **Developer** | Hendricus Morren |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0.2/1.0) |
| **Data Age** | 44d |

## Metadata & Market Performance
- **Publisher:** Hendricus Morren
- **Category:** Business
- **Target Audience:** Small and medium-sized business window cleaners.
- **Platforms:** iOS
- **Version Audited:** 3.5.1
- **Audit Date:** 2026-05-19
- **Signal Count:** 1 reviews analyzed
- **Confidence:** Low (0.2/1.0)
- **App Store ID (iOS):** 1147146782
- **Bundle ID:** com.hendricus.doingwindowsios
- **Data Window:** Analysis based on signals collected up to 2026-05-19

<!-- section:executive-snapshot -->
## Executive Snapshot
Doing Windows is a business management tool designed for window cleaners to organize customer records, job cycles, and daily rounds. It automates weekly to-do lists and tracks financial data, including payments, expenses, and vehicle mileage.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Job and Round Scheduling:** Allows users to set job cycles and organize tasks into rounds to maintain a consistent routine.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
- **[Standard] Financial Tracking:** Enables monitoring of payments to receive, received payments, work-related expenses, and vehicle mileage.
  * *User Intent:* Users want visibility into their own performance and progress.
- **[Standard] Automated To-Do Lists:** Generates weekly task lists automatically and reschedules jobs based on their repeat cycles.
- **[Standard] Data Export:** Supports sharing lists via email, text, or spreadsheet-compatible formats.
  * *User Intent:* Users expect intelligent, adaptive experiences that learn from their behavior.
<!-- /section:features -->

## Monetization Strategy
- **Model:** Paid
- **Price:** iOS: $29.99

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

Last updated 1122d ago. 5 versions tracked.

> **Cadence:** 5 total versions · 0 majors in last 6 months · 1122 days since last update

<!-- /section:momentum -->

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

Doing Windows is an established business app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** While the app offers comprehensive scheduling and financial tracking for window cleaners, user feedback indicates potential challenges with the initial setup and interface complexity.
<!-- speakable-end -->

**Best for:** Small and medium-sized business window cleaners.

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 4 analyzed |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Doing Windows** (this app) | N/A/5 | N/A | Hendricus Morren |
| [Groupon Merchant](https://marlvel.ai/apps/groupon-merchant) | 3.0/5 | N/A | Groupon, Inc. |
| [Cisco Events App](https://marlvel.ai/apps/cisco-events-app) | 4.3/5 | N/A | Cisco |
| [Hours - Tracker & Time Clock](https://marlvel.ai/apps/hours-tracker-time-clock) | 4.6/5 | N/A | One Wave AB |
| [Subnet Calc](https://marlvel.ai/apps/subnet-calc) | 4.8/5 | N/A | Swipe Stack Ltd |
| [Alloy Fleet+](https://marlvel.ai/apps/alloy-fleet) | N/A/5 | N/A | Cumberland Farms |

## Company Profile
- **Developer:** Hendricus Morren

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/gb/app/doing-windows/id1147146782?uo=2)
- **Sources:** App store metadata, User reviews.

## Related Intel Reports
- [*Groupon Merchant*](https://marlvel.ai/apps/groupon-merchant) (Groupon, Inc.) — 3.0/5 Rating | N/A Sentiment
- [*Cisco Events App*](https://marlvel.ai/apps/cisco-events-app) (Cisco) — 4.3/5 Rating | N/A Sentiment
- [*Hours - Tracker & Time Clock*](https://marlvel.ai/apps/hours-tracker-time-clock) (One Wave AB) — 4.6/5 Rating | N/A Sentiment
- [*Subnet Calc*](https://marlvel.ai/apps/subnet-calc) (Swipe Stack Ltd) — 4.8/5 Rating | N/A Sentiment
- [*Alloy Fleet+*](https://marlvel.ai/apps/alloy-fleet) (Cumberland Farms) — N/A Rating | N/A Sentiment
- [*Simple Countertops*](https://marlvel.ai/apps/simple-countertops) (Simple App Solutions) — 3.9/5 Rating | N/A Sentiment
- [*Hours Tracker - Salarybook*](https://marlvel.ai/apps/hours-tracker-salarybook) (Centriqo) — 4.5/5 Rating | N/A Sentiment
- [*Cisco dCloud Contact Center*](https://marlvel.ai/apps/cisco-dcloud-contact-center) (Cisco) — N/A Rating | N/A Sentiment
- [*Time Manager Bar-Timers,Events*](https://marlvel.ai/apps/time-manager-bar-timers-events) (永文 胡) — N/A Rating | N/A Sentiment
- [*AA Crew Check In*](https://marlvel.ai/apps/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:** 0.2/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 1
- **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:** 44 days since last refresh

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