Sprigは、UXチーム向けの最新のリサーチプラットフォームで、AIを活用してアンケート、セッションリプレイ、ヒートマップを通じてユーザーフィードバックを収集します。チームがユーザー行動を分析し、問題点を特定し、データに基づいた製品決定を迅速に行うのに役立ちます。
UserTestingは、組織が実際の顧客体験を視覚的に、聴覚的に、そして深く理解することを可能にする、業界をリードするヒューマンインサイトプラットフォームです。グローバルな参加者ネットワークとAI駆動の分析を活用し、製品、マーケティング、デザインチームがビデオファーストのフィードバックを収集し、意思決定の検証、体験の最適化、そして顧客中心の製品を自信を持って構築するのを支援します。
製品概要
Sprig 製品概要
Sprigは、UXチーム向けの最新のリサーチプラットフォームで、AIを活用してアンケート、セッションリプレイ、ヒートマップを通じてユーザーフィードバックを収集します。チームがユーザー行動を分析し、問題点を特定し、データに基づいた製品決定を迅速に行うのに役立ちます。
UserTesting 製品概要
UserTestingは、組織が実際の顧客体験を視覚的に、聴覚的に、そして深く理解することを可能にする、業界をリードするヒューマンインサイトプラットフォームです。グローバルな参加者ネットワークとAI駆動の分析を活用し、製品、マーケティング、デザインチームがビデオファーストのフィードバックを収集し、意思決定の検証、体験の最適化、そして顧客中心の製品を自信を持って構築するのを支援します。
Detailed feature comparison
Sprig vs UserTesting monthly traffic
Compare Sprig and UserTesting by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Sprig vs UserTesting monthly traffic comparison, Sprig currently shows 316K visits and UserTesting shows 3.4M; UserTesting has about 10.8 times the visible traffic of Sprig, an absolute difference of about 3.1M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Sprig monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 323.5K 月間訪問数
- 2026/1: 341.2K 月間訪問数
- 2026/2: 310.6K 月間訪問数
- 2026/3: 265K 月間訪問数
- 2026/4: 278.2K 月間訪問数
- 2026/5: 316K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 91.19% | 288.2K |
| 🇨🇦Canada | 3.03% | 9.6K |
| 🇻🇳Vietnam | 3.03% | 9.6K |
| 🇬🇧United Kingdom | 1.44% | 4.6K |
| 🇩🇪Germany | 1.31% | 4.1K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| 参照元 | 58.55% | 185K |
| ダイレクト | 34.19% | 108K |
| Eメール | 7.26% | 22.9K |
検索キーワード
UserTesting monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3M 月間訪問数
- 2026/1: 3.1M 月間訪問数
- 2026/2: 3M 月間訪問数
- 2026/3: 3.5M 月間訪問数
- 2026/4: 3.3M 月間訪問数
- 2026/5: 3.4M 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 50.56% | 1.7M |
| 🇬🇧United Kingdom | 18.15% | 622.1K |
| 🇨🇦Canada | 15.06% | 516.2K |
| 🇮🇳India | 8.54% | 292.7K |
| 🇫🇷France | 7.69% | 263.6K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 80.88% | 2.8M |
| 参照元 | 12.56% | 430.5K |
| Eメール | 6.56% | 224.9K |
検索キーワード
Usage comparison
Compare the core capabilities of Sprig and UserTesting
Sprig Core features
UserTesting Core features
Use cases
Sprig Use cases
UserTesting Use cases
Sprig vs UserTesting:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Sprig vs UserTesting comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Sprig is primarily listed under “分析”, while UserTesting is primarily listed under “分析”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Sprig: Freemium; UserTesting: Paid); Monthly visits (Sprig: 316K; UserTesting: 3.4M); Monthly growth (Sprig: 13.6%; UserTesting: 3.4%); Favorites (Sprig: 127; UserTesting: 104); Website (Sprig: sprig.com; UserTesting: www.usertesting.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Sprig vs UserTesting monthly traffic comparison, Sprig currently shows 316K visits and UserTesting shows 3.4M; UserTesting has about 10.8 times the visible traffic of Sprig, an absolute difference of about 3.1M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate UserTesting first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Sprig and UserTesting currently overlap in shared categories: 分析、顧客フィードバック、ユーザーリサーチ; shared tags: お客様の声、プロダクトマネジメント、ユーザーエクスペリエンス、UXリサーチ. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Sprig's unique categories/tags are AI分析、データ分析、製品内アンケート、セッションリプレイ、ユーザーリサーチ; UserTesting's are 顧客体験、フィードバック分析、人間の洞察、市場調査、ユーザビリティテスト、ユーザーテスト. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Sprig has no verified rating, 0 comments, 127 favorites, and 109 likes;UserTesting has no verified rating, 0 comments, 104 favorites, and 103 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Sprig first
Put Sprig on the priority trial list when the task aligns with “分析” and especially AI分析、データ分析、製品内アンケート、セッションリプレイ、ユーザーリサーチ. This follows recorded positioning and does not imply unlisted capabilities are absent.
Sprig also currently records: pricing is freemium, product type is website, 316K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate UserTesting first
Put UserTesting on the priority trial list when the task aligns with “分析” and especially 顧客体験、フィードバック分析、人間の洞察、市場調査、ユーザビリティテスト、ユーザーテスト. This follows recorded positioning and does not imply unlisted capabilities are absent.
UserTesting also currently records: pricing is paid, product type is website, 3.4M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Sprig and UserTesting, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




