---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Yes or No"
developer_entity: "Stanislav Svec"
bundle_id: "Stanislav-Svec.Yes-or-No"
app_store_id: "550978485"
category: "Entertainment"
primary_platform: "ios"
primary_monetization: "Paid"
offline_capable: false
market_region: "US"
platforms: "iOS"
app_last_updated: "2023-12-11"
report_date: "2026-07-18"
last_verified: "2026-07-18T00:00:00.000Z"
report_version: "2.1.1"
total_reviews: 0
confidence: "low"
confidence_score: 0
data_age_days: 29
intelligence_version: 5
nemesis: "Tiny Decisions"
competitor_count: 9
tags: ["entertainment", "paid", "mobile app", "app review", "app analysis", "individuals", "seeking", "quick,"]
canonical_url: "https://marlvel.ai/apps/yes-or-no"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Yes or No Intelligence Report

## TL;DR {#tldr}

- **Category**: Entertainment · Paid

> **TL;DR:** Yes or No is a entertainment app by Stanislav Svec, available on iOS.
>
> **Marlvel.ai App Intelligence** — Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Yes or No is a entertainment app by Stanislav Svec.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Entertainment |
| **Developer** | Stanislav Svec |
| **Pricing** | Paid |
| **Platforms** | iOS |
| **Confidence** | Low (0/1.0) |
| **Data Age** | 29d |

## Metadata & Market Performance
- **Publisher:** Stanislav Svec
- **Category:** Entertainment
- **Target Audience:** Individuals seeking a quick, randomized tool to resolve minor daily indecisions.
- **Platforms:** iOS
- **Version Reviewed:** 2.1.1
- **Report Date:** 2026-07-18
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0/1.0)
- **App Store ID (iOS):** 550978485
- **Bundle ID:** Stanislav-Svec.Yes-or-No
- **Performance Trend:** Stable
- **Data Window:** Analysis based on signals collected up to 2026-07-18

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Yes or No is a multilingual decision-making utility for iOS that provides randomized binary answers to user questions.
**Why users hire it:** Users hire this app to offload minor daily indecisions to a randomized oracle, seeking a distraction-free experience without the complexity of multi-option wheels.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Standard] Decision Engine:** Provides swift, randomized yes or no answers to user-submitted questions.
  * *User Intent:* Users seek enhanced value through premium features.
- **[Standard] Multilingual Support:** Interface supports 10 languages, including English, German, and Japanese.
<!-- /section:features -->

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

The app faces a severe acquisition deficit with zero ratings on the App Store, leaving it invisible compared to category leaders like Tiny Decisions.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Paid
- **Tiers:** $0.99
- **Price:** iOS: $0.99
- **Analysis:** The $0.99 upfront cost is a primary barrier to entry in a category dominated by free, ad-supported utilities.

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

**Core Strengths:**
- Minimalist interface reduces cognitive load for users seeking immediate binary outcomes

**Growth Levers:**
- Integration with Siri Shortcuts could provide functional parity against productivity-focused rivals


<!-- /section:swot -->
## Recent Changes (v4 → v5) {#recent-changes}

The report updates the competitive landscape and SWOT analysis to reflect the app's ongoing stagnation and lack of feature parity with market leaders.

**Overall trend**: Stable
**Compared at**: 2026-07-18

### Medium-impact changes
- **[Added] Expanded Threat Assessment** (swot)
- **[] Expanded Feature Gap List** (features)
- **[] Refined Market Position Narrative** (positioning)

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

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

### Yes or No vs Tiny Decisions
- **[Tiny Decisions](https://marlvel.ai/apps/tiny-decisions)** by Hangzhou Tangsuan Network Technology Co., Ltd.: Tiny Decisions dominates the decision-making utility space by offering a comprehensive suite of randomization tools that directly compete with this app's core value proposition.
  - **Key differences:**
    - Offers advanced interactive features like finger roulette which provides a more engaging user experience than binary choices
    - Includes robust iCloud sync capabilities that ensure user-created decision wheels persist across multiple Apple devices seamlessly
    - Maintains high user trust through a massive review volume and consistent updates over several years of operation

### Contenders (Strong Challengers)
- **[Quick Decision - Random Picker](https://marlvel.ai/apps/quick-decision-random-picker)** by 智华 李: It targets the same productivity-minded audience by focusing on workflow integration and shortcut-based decision execution.
  - Integrates with Siri Shortcuts to allow hands-free decision making, significantly reducing the time to reach an outcome
  - Supports multiple selection modes that allow users to tailor the decision logic to specific complex scenarios
- **[Picker Wheel - Spin Decisions](https://marlvel.ai/apps/picker-wheel-spin-decisions)** by Batuhan Tarhanacioglu: This app competes by offering a visually vibrant alternative to this app's utility-focused decision-making experience.
  - Provides diverse visual themes that appeal to users looking for aesthetic customization rather than just utility
  - Includes a coin flip feature that offers a familiar, traditional alternative to this app's digital oracle

### Peers (What They Do Better)
- **[Trumpify - Text like Trump](https://marlvel.ai/apps/trumpify-text-like-trump)** by Luke Kazmierowicz: This app targets the same casual entertainment market by providing a novelty tool for text-based interaction.
  - Uses a specific cultural and political niche to drive engagement through novelty rather than functional utility
  - Focuses on text transformation mechanics that offer a different type of entertainment value than random selection
- **[Disney Stickers: Wish](https://marlvel.ai/apps/disney-stickers-wish)** by Disney: It competes for the same entertainment-focused user base by leveraging high-value intellectual property in the sticker space.
  - Capitalizes on globally recognized Disney branding to drive organic discovery and user interest without utility
  - Offers animated sticker support that provides a more dynamic and premium feel than static utility apps
- **[Hummingbirds - Large (Retina)](https://marlvel.ai/apps/hummingbirds-large-retina)** by SpeckTech Inc.: This app occupies the same digital ecosystem as a casual entertainment tool, competing for limited user attention.
  - Prioritizes high-fidelity visual assets designed specifically for Retina displays to enhance messaging quality
  - Leverages ecosystem integration to function as a supplementary tool within existing iMessage communication workflows
- **[Good Morning-!](https://marlvel.ai/apps/good-morning)** by SpeckTech Inc.: While primarily a sticker app, it shares the 'Entertainment' category and competes for the same casual, low-utility screen time.
  - Focuses on social expression through multilingual greetings rather than functional decision-making utility for the user
  - Utilizes a drag-and-drop customization model that prioritizes creative messaging over this app's binary logic

### New Kids on the Block (What's Innovative)
- **[Fukubiki - Raffle Drum](https://marlvel.ai/apps/fukubiki-raffle-drum)** by Hironori Sakata: It disrupts the space by gamifying the decision process through a digital raffle drum, appealing to users who prefer tactile simulations.
  - Implements a digital raffle drum mechanic that provides a more immersive and gamified selection experience
- **[Joy Prize Draw](https://marlvel.ai/apps/joy-prize-draw)** by WEN TSUNG TSAI: This newcomer enters the market with a focus on social and group-based decision-making, challenging this app's solo-use model.
  - Enables second-screen experiences via AirPlay to facilitate group participation in the decision-making process

<!-- /section:rivals -->
<!-- section:momentum -->
## App Momentum (Steady) {#momentum}

- No major updates since late 2023.
- Zero ratings indicate stalled user growth.

<!-- /section:momentum -->

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

Yes or No is an established entertainment app that is a paid app.

<!-- speakable-start -->
> **Bottom Line:** Yes or No offers a clean, binary utility, but the $0.99 barrier in a free-to-play category prevents user acquisition, so the developer must pivot to a free, ad-supported model to build the review volume necessary for chart visibility.
<!-- speakable-end -->

**Best for:** Individuals seeking a quick, randomized tool to resolve minor daily indecisions.

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

- [ ] [PIVOT] Pivot to free, ad-supported model because $0.99 price blocks acquisition → increase install velocity
<!-- /section:pm-actions -->

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


- Finger roulette (available in Tiny Decisions)
<!-- /section:feature-gaps -->

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

The decision-utility market is consolidating around free, high-engagement tools that offer social proof and frequent updates. Yes or No remains exposed due to its paid-upfront model and lack of recent development, so the app will likely continue to lose visibility to free alternatives.

- 🔴 The lack of updates since 2023 signals a maintenance-mode posture, which prevents the app from competing with rivals shipping active feature updates.
- 🔴 The $0.99 price point in a free-dominated category ensures near-zero install velocity, leading to long-term stagnation in the App Store rankings.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Pricing Model | Paid |
| Platforms | iOS |
| Key Features | 2 analyzed |
| Trend | Stable |
| Outlook | Declining |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Yes or No** (this app) | N/A/5 | N/A | Stanislav Svec |
| [Disney Stickers: Wish](https://marlvel.ai/apps/disney-stickers-wish) | 5.0/5 | N/A | Disney |
| [Trumpify - Text like Trump](https://marlvel.ai/apps/trumpify-text-like-trump) | 4.3/5 | N/A | Luke Kazmierowicz |
| [Good Morning-!](https://marlvel.ai/apps/good-morning) | 3.3/5 | N/A | SpeckTech Inc. |
| [Hummingbirds - Large (Retina)](https://marlvel.ai/apps/hummingbirds-large-retina) | 5.0/5 | N/A | SpeckTech Inc. |
| [Tiny Decisions](https://marlvel.ai/apps/tiny-decisions) | 4.7/5 | n/a | Hangzhou Tangsuan Network Technology Co., Ltd. |

## Company Profile
- **Developer:** Stanislav Svec
- **Website:** [https://jirisvec.eu](https://jirisvec.eu)

## Data Sources & Links
- **App Store:** [View on Apple Store](https://apps.apple.com/us/app/yes-or-no/id550978485?uo=4)
- **Dev Site:** [Official Website](https://jirisvec.eu)
- **Sources:** App store metadata.

## Related Intel Reports
- [*Disney Stickers: Wish*](https://marlvel.ai/apps/disney-stickers-wish) (Disney) · 5.0/5 Rating
- [*Trumpify - Text like Trump*](https://marlvel.ai/apps/trumpify-text-like-trump) (Luke Kazmierowicz) · 4.3/5 Rating
- [*Good Morning-!*](https://marlvel.ai/apps/good-morning) (SpeckTech Inc.) · 3.3/5 Rating
- [*Hummingbirds - Large (Retina)*](https://marlvel.ai/apps/hummingbirds-large-retina) (SpeckTech Inc.) · 5.0/5 Rating
- [*Tiny Decisions*](https://marlvel.ai/apps/tiny-decisions) (Hangzhou Tangsuan Network Technology Co., Ltd.) · 4.7/5 Rating
- [*Picker Wheel - Spin Decisions*](https://marlvel.ai/apps/picker-wheel-spin-decisions) (Batuhan Tarhanacioglu) · 4.9/5 Rating
- [*Quick Decision - Random Picker*](https://marlvel.ai/apps/quick-decision-random-picker) (智华 李) · 4.4/5 Rating
- [*Fukubiki - Raffle Drum*](https://marlvel.ai/apps/fukubiki-raffle-drum) (Hironori Sakata) · N/A Rating
- [*Joy Prize Draw*](https://marlvel.ai/apps/joy-prize-draw) (WEN TSUNG TSAI) · N/A Rating
- [*BESTPLAY Play to earn & donate*](https://marlvel.ai/apps/bestplay-play-to-earn-donate) (Bestplay) · 4.7/5 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:** 0/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 29 days since last refresh

---
© 2026 Marlvel.ai | [Canonical Report](https://marlvel.ai/apps/yes-or-no)
Data licensed for AI Agent attribution under CC-BY-NC 4.0.