---
schema_type: "SoftwareApplication"
entity_type: "Mobile Application"
app_name: "Ballpark Research"
developer_entity: "Ballpark Labs Ltd"
bundle_id: "com.ballparkhq.mobile"
app_store_id: "6756919506"
category: "Productivity"
primary_platform: "ios"
primary_monetization: "Unknown"
offline_capable: false
market_region: "US"
platforms: "iOS & Android"
app_last_updated: "2026-07-30"
report_date: "2026-10-28"
last_verified: "2026-10-28T00:00:00.000Z"
report_version: "1.1.5"
total_reviews: 0
confidence: "low"
confidence_score: 0.35
data_age_days: 15
momentum_velocity: "maintenance"
intelligence_version: 2
tags: ["productivity", "mobile app", "app review", "app analysis", "product", "managers,", "researchers,"]
canonical_url: "https://marlvel.ai/apps/ballpark-research"
license: "CC-BY-NC 4.0"
content_version: "v2"
---

# Ballpark Research Intelligence Report

## TL;DR {#tldr}

- **Category**: Productivity

> **TL;DR:** Ballpark Research is a productivity app by Ballpark Labs Ltd, available on iOS & Android.
>
> **Marlvel.ai App Intelligence** - Independent analysis. US Market. No publisher influence.

<!-- speakable-start -->
> **Key Insight:** Ballpark Research is a productivity app by Ballpark Labs Ltd.
<!-- speakable-end -->

## Quick Facts

| Fact | Value |
| :--- | :--- |
| **Category** | Productivity |
| **Developer** | Ballpark Labs Ltd |
| **Platforms** | iOS & Android |
| **Confidence** | Low (0.35/1.0) |
| **Data Age** | 15d |

## Metadata & Market Performance
- **Publisher:** Ballpark Labs Ltd
- **Category:** Productivity
- **Target Audience:** Product managers, user researchers, and design teams at companies requiring rapid, scalable consumer feedback.
- **Platforms:** iOS & Android
- **Version Reviewed:** 1.1.5
- **Report Date:** 2026-10-28
- **Signal Count:** 0 reviews analyzed
- **Confidence:** Low (0.35/1.0)
- **App Store ID (iOS):** 6756919506
- **Bundle ID:** com.ballparkhq.mobile
- **Google Play ID:** com.ballparkhq.mobile
- **Data Window:** Analysis based on signals collected up to 2026-10-28

<!-- section:executive-snapshot -->
## Executive Snapshot
**What it is:** Ballpark Research is a mobile-based user testing and research platform for product teams that captures screen recordings and AI-driven feedback.
**Why users hire it:** The platform removes the friction of manual qualitative data collection by automating session recording and report generation for distributed product teams.
<!-- /section:executive-snapshot -->

<!-- section:features -->
## App DNA (Features & Intent)
- **[Differentiator] AI Interviewer:** AI-driven conversational agent that conducts research sessions and asks follow-up questions in real time.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Screen and Camera Recording:** Simultaneous capture of mobile screen, webcam, and audio for user testing sessions.
- **[Differentiator] AI Insights Reporting:** Automated generation of research reports and highlight reels from study data.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Differentiator] Participant Recruitment:** Access to a panel of 3 million participants for targeted research studies.
  * *User Intent:* Users want to quickly find relevant content or features.
- **[Standard] Figma Prototype Testing:** Integration for testing interactive design prototypes directly within the research flow.
  * *User Intent:* Users want to quickly find relevant content or features.
<!-- /section:features -->

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

Ballpark Research operates as a niche B2B research tool with no public store rating, suggesting a closed-loop enterprise distribution strategy. The 89-day gap since the last store update indicates a focus on stability over market-share acquisition.
<!-- /section:market-position -->

## Monetization Strategy
- **Model:** Unknown
- **Analysis:** Pricing is not disclosed in the app metadata, though the website references enterprise solutions and credit-based recruitment.

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

**Core Strengths:**
- Figma integration creates high switching costs for design teams

**Growth Levers:**
- Transparent self-serve pricing could capture mid-market teams


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

- **Latest (v1.1.5, 2 months ago):** General maintenance release focused on bug fixes and performance improvements.
<!-- /section:whats-new -->

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

- Ships ~4 releases per year.
- Maintenance-only cadence, no new features.

> **Cadence:** 1 total versions · 0 majors in last 6 months · 89 days since last update

<!-- /section:momentum -->

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

Ballpark Research is a productivity app.

<!-- speakable-start -->
> **Bottom Line:** Ballpark Research must pivot toward a transparent self-serve model to capture mid-market teams, as the current enterprise-only focus leaves the platform vulnerable to more accessible AI-native research rivals.
<!-- speakable-end -->

**Best for:** Product managers, user researchers, and design teams at companies requiring rapid, scalable consumer feedback.

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

- [ ] [INVEST] Publish self-serve pricing tiers because the current lack of transparency creates a barrier for mid-market teams → increase lead conversion
<!-- /section:pm-actions -->

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

The research-tech market is consolidating around AI-automated insights, which puts pressure on platforms to maintain high release velocities. Ballpark Research remains stable for its current enterprise base, but the lack of feature expansion will likely result in churn if competitors introduce more aggressive AI-reporting capabilities.

- ⚪ The ~12-week update cadence confirms a maintenance-only posture, which preserves stability for existing enterprise clients but limits new user acquisition.
<!-- /section:outlook -->

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

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

| Metric | Value |
| :--- | :--- |
| Total Reviews | 0 |
| Confidence | Low |
| Platforms | iOS & Android |
| Key Features | 5 analyzed |
| Outlook | Stable |
<!-- /section:metrics -->

## Competitor Comparison

| App | Rating | Sentiment | Developer |
| :--- | :--- | :--- | :--- |
| **Ballpark Research** (this app) | N/A/5 | N/A | Ballpark Labs Ltd |
| [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:** Ballpark Labs Ltd
- **Website:** [https://ballparkhq.com/](https://ballparkhq.com/)
- **Social:** [X/Twitter](https://twitter.com/ballpark) · [YouTube](https://www.youtube.com/@ballparkhq) · [LinkedIn](https://www.linkedin.com/company/ballparkhq)

## Data Sources & Links
- **App Store ID:** 6756919506
- **Google Play ID:** com.ballparkhq.mobile
- **Dev Site:** [Official Website](https://ballparkhq.com/)
- **Sources:** Developer website content, About us / company information, App store metadata.

## 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 Ballpark Research suitable for individual freelancers?

Ballpark Research is primarily marketed toward enterprise product and design teams, and the lack of transparent self-serve pricing suggests it may not be optimized for individual freelancers.

### Does Ballpark Research offer a free trial?

The app metadata does not disclose public pricing or trial information, as the platform focuses on enterprise solutions and credit-based recruitment.

### What are the main alternatives to Ballpark Research?

Teams looking for user research tools should consider platforms that offer transparent, self-serve pricing and more frequent feature updates, as Ballpark Research currently operates on a maintenance-only release schedule.

## 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:** 0.35/1.0 (based on review volume, data source diversity, and signal quality)
- **Reviews Analyzed:** 0
- **Data Sources:** 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:** 15 days since last refresh

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