--- description: Dovetailを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！ image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Dovetailとは？ | 機能や料金、導入事例をご紹介【キャプテラ】 --- 現在地表示: [ホーム](/) > [定性的データ分析ソフト](/directory/31297/qualitative-data-analysis/software) > [Dovetail](/software/174077/dovetail) # Dovetail Canonical: https://www.capterra.jp/software/174077/dovetail ページ：1 / 5\ 次へ: [次ページ](https://www.capterra.jp/software/174077/dovetail?page=2) > クラウドベースのDovetailユーザー調査ソフトウェアを使用すると、ユーザー調査を合理化し、次にすべきことを決定できます。 > > 評価：97人のユーザーによる評価は**4.6/5**。**おすすめ度**で最高の評価。 ----- ## 概要 ### Dovetailの対象ユーザー 製品およびサービス企業、デザインおよび研究機関、学術機関、政府。顧客にはArm、BCG、Chargebee、Deliveroo、Deloitte、Harvard、Shopify、Thoughtworks、VMwareなどが含まれます。 ## 簡単な統計と評価 | 測定基準 | 評価 | 詳細 | | **総合評価** | **4.6/5** | 97 レビュー | | 使いやすさ | 4.6/5 | レビュー全体に基づく | | カスタマー・サポート | 4.7/5 | レビュー全体に基づく | | 価格の妥当性 | 4.4/5 | レビュー全体に基づく | | 機能 | 4.3/5 | レビュー全体に基づく | | おすすめ率 | 90% | (9/10 おすすめ度) | ## 企業情報 - **キャプテラについて**: Dovetail Research - **ロケーション**: Sydney, オーストラリア - **設立**: 2017 ## ビジネスコンテキスト - **価格プラン**: $0.00 - **価格モデル**: (無料版が利用可能) (無料のトライアル) - **対象となる企業**: 2～10, 11～50, 51～200, 201～500, 1,001～5,000, 5,001～10,000, 10,000+ - **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース - **サポートされる言語**: 英語 - **利用可能な国**: アメリカ合衆国, インド, オーストラリア, カナダ, ドイツ, ブラジル, メキシコ, 中国, 日本 ## 機能 - アンケートおよびフィードバック - コラボレーションツール - ダッシュボード - テキスト分析 - データのインポート／エクスポート - データの可視化 - ネガティブ・フィードバック管理 - フィードバック管理 - マルチチャネル・データ収集 - ユーザビリティ・テスト - ユーザーリサーチ分析 - ワークフロー管理 - 優先順位付け - 注釈 - 製品ロードマッピング ## 統合 (合計31件) - Aha\! - Airtable - Asana - CMNTY Platform - Canny - Delighted - Dropbox Business - Evernote Teams - Feefo - Freshdesk - GitHub - Gmail - Google Analytics 360 - Google Forms - Help Scout ... さらに16件の統合 ## サポートのオプション - メール/ヘルプデスク - FAQ/フォーラム - ナレッジベース - 電話サポート - チャット対応有 ## Category - [定性的データ分析ソフト](https://www.capterra.jp/directory/31297/qualitative-data-analysis/software) ## 関連カテゴリー - [定性的データ分析ソフト](https://www.capterra.jp/directory/31297/qualitative-data-analysis/software) - [ユーザーエクスペリエンス (UX)](https://www.capterra.jp/directory/31036/ux/software) - [ユーザーテストツール](https://www.capterra.jp/directory/32295/user-testing/software) - [カスタマーエクスペリエンス ソフト](https://www.capterra.jp/directory/30671/customer-experience/software) - [市場調査ツール](https://www.capterra.jp/directory/10041/market-research/software) ## 代替製品 1. [UserWay Accessibility Widget](https://www.capterra.jp/software/218549/userway) — 4.9/5 (328 reviews) 2. [Lucky Orange](https://www.capterra.jp/software/150695/lucky-orange) — 4.7/5 (260 reviews) 3. [Adobe XD](https://www.capterra.jp/software/168423/adobe-xd) — 4.5/5 (1087 reviews) 4. [Survicate](https://www.capterra.jp/software/132914/survicate) — 4.6/5 (99 reviews) 5. [Hotjar](https://www.capterra.jp/software/163516/hotjar) — 4.6/5 (539 reviews) ## レビュー ### "The Ultimate Solution for Data-Driven Research Teams\!" — 5.0/5 > **Daniel** | *2024年10月14日* | コンピュータ、ネットワーク・セキュリティ | おすすめ評価：10.0/10 > > **良いポイント**: I'm excited to share my experience with Dovetail\! This user research data repository is constantly evolving, and the enhancements—especially with the addition of AI—truly elevate the experience\! It’s clear that the team genuinely cares about making data manipulation easier with every update. > > **改善点**: For those storing research data in places like Figma the migration of old insights is slow and manual. > > Importing data from CSV files and video recordings is incredibly straightforward, making our workflow so much smoother. My team and I are absolutely loving our journey with Dovetail, and we can't wait to explore all the amazing features it has to offer\! ----- ### "The leading UXR qualitative analysis tool" — 5.0/5 > **Emi** | *2024年10月30日* | 情報技術、情報サービス | おすすめ評価：9.0/10 > > **良いポイント**: The best part about Dovetail is how seamlessly I can curate and share user insights with stakeholders. No video editing, no downloading and uploading of video clips. I just pop the most interesting moments into my reports, into Slack (with integration support), into comments, and there they are. I'm using Dovetail for multiple hours every day. They provide a wide set of tools to look at your interview data (and now also surveys, NPS, tickets, etc), and synthesize it from a birds eye view. If you're trying to build a dynamic, ever growing repository, Magic Search is a gamechanger for finding what you need amidst the reams of data. It's largely stakeholder friendly and has definitely made some jaws drop when I've shown them how to use it. Finally, the Dovetail team itself is exceptionally responsive to feedback and has built a lovely community of research-minded folks. It's very clear that they're building based on what we're saying, and they take suggestions very seriously > > **改善点**: Pricing. Some of the features (workspace tag boards namely) that we leaned on in previous years on a Team plan (legacy) got locked behind their Business plan. It was a near 4x leap in costs to maintain parity with what we had before to maintain our existing repository structure. They've been developing many new AI-powered features that are recouping some of that value, but those are available on ALL paid plans, so it feels a bit hard to justify the shift (or at least it stung dearly as an existing customer). As a tool, Dovetail definitely has some learning curves. Stakeholders usually need significant hand-holding to learn how to leverage the tool, both as a viewer or a contributor. > > Dovetail streamlines working with qualitative data. It automates transcription. It now even has automatic meeting import. It suggests highlights. It has AI analysis tools. All of the raw data is flexible and can be arranged into interactive reports (insights) for quick building, and engaging content. This means I'm not spending time editing video clips, downloading and uploading things, or tabbing through all the interviews separately to find themes. I can look at the themes, tags, and interesting quotes from a birds eye view to catch patterns. I've built out a robust repository in Dovetail, and it's been a godsend for answering the question of "what do we know about X". Previous research is just a few clicks away instead of trying to remember what dusty archive it was stored in. Because I use a global taxonomy, I also can leverage that, filters, and magic search to get to some very nuanced questions. ----- ### "Worthless pile of junk" — 1.0/5 > **Andrew** | *2023年5月9日* | マーケティング、広告 | おすすめ評価：0.0/10 > > **良いポイント**: Transcriptions. Oh, and they had a clean salesy website with no substance or value after that (an empty promise). > > **改善点**: - Charts are impossible to use- Terrible data visualizations- Worthless help articles- Clueless support > > I spent 8+ hours "tagging" nearly 20 research interviews, come to find out I can't generate any meaningful reports with the data I just transcribed and tagged.No easy way to show who answered what, let alone calculate percentages or totals (used Google Sheets for this instead).In all, an entire waste of time and money.Stick to Google Spreadsheets and save the time and headache\! ----- ### "Dovetail's Customization & Variety of Tools Makes it an Excellent "Research Partner"" — 5.0/5 > **認証済みレビュアー** | *2024年10月17日* | 情報技術、情報サービス | おすすめ評価：10.0/10 > > **良いポイント**: I have utilized Dovetail at two distinct organizations, assisting with the implementation of the tool in both instances. I am consistently impressed by Dovetail's dynamic personalization features, especially its customizable folder hierarchy and project permissions. When introducing teammates to Dovetail for the first time, I highlight the platform's capability as a "one-top-shop" solution for all research needs and workflows. > > **改善点**: I appreciate Dovetail for its commitment to continuously improving its features while actively incorporating real user feedback to evolve the platform. Our customer service representative consistently addresses our concerns and feature requests with thoroughness and is prompt in providing us with the necessary answers. There is nothing in particular that I dislike about Dovetail - rather, I have a list of "Even Better Ifs" that would enhance my usage of the platform, which I've been able to easily submit to the Dovetail team. ----- ### "The Best for Product to Design" — 5.0/5 > **Zoey** | *2024年10月17日* | Eラーニング | おすすめ評価：10.0/10 > > **良いポイント**: I have not seen another tool that can help with analysis and keep research organized, like Dovetail. As a UX Researcher and former Product Manager, this is one of my favorite tools. I can clearly see pain points, themes, and more, while clearly organizing my notes, transcripts, and calls with tags. It is easily accessible to design and product, and it saves tons of time in workflows. I would be incredibly at a loss without it. > > **改善点**: I wish initial onboarding had 2-3 calls to set up properly as it does affect adoption if your tags are not set up correctly. > > From customer support to the use of the tool, I would be incredibly sad if I could not use this tool. I have used a few tools, but nothing is like Dovetail. ----- ページ：1 / 5\ 次へ: [次ページ](https://www.capterra.jp/software/174077/dovetail?page=2) ## リンク - [Capterraで表示する](https://www.capterra.jp/software/174077/dovetail) ## このページは以下の言語で利用できます | ロケール | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | ko | | | nl | | | nl-BE | | | pt | | | pt-PT | | | sv | | ----- ## 構造化データ