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What is Dovetail?

Dovetail is an AI-native platform designed to help organizations build better products through continuous, automated customer intelligence. It ingests and analyzes a wide range of qualitative data, including interview transcripts, support tickets, usability test results, survey responses, and document analysis, transforming them into rich, actionable insights at lightning speed. Dovetail’s AI-powered chat interface enables teams to ask questions and get instant, cited answers from customer data, fostering data-driven decision-making. The platform integrates smoothly with collaboration tools like Slack and Microsoft Teams, ensuring that customer feedback is woven into everyday workflows. It also includes a recruitment feature, allowing teams to find and manage research participants from a pool of over 3 million verified consumers and professionals. Trusted by some of the world’s most innovative companies including Amazon, Atlassian, and Okta, Dovetail has proven ROI benefits—delivering over 200% return with payback in under six months. The platform supports a variety of roles such as product managers, UX researchers, designers, marketers, and customer success teams, making it versatile for enterprise-wide adoption. Dovetail continuously organizes feedback from disparate channels, alerts teams to emerging themes, and tracks trends over time, helping businesses stay close to their customers’ needs. Its enterprise-grade security and compliance features ensure data privacy and reliability. By simplifying the process of capturing and analyzing customer intelligence, Dovetail accelerates innovation and drives superior user experiences.

What is Data Lakes on AWS?

A multitude of Amazon Web Services (AWS) users are in search of a data storage and analytics option that outperforms traditional data management systems in terms of flexibility and agility. The emergence of data lakes has proven to be a groundbreaking and increasingly popular approach for data storage and analysis, allowing businesses to manage a wide array of data types from multiple sources within a single repository that supports both structured and unstructured data. AWS Cloud offers vital elements that empower customers to develop a secure, versatile, and cost-effective data lake. These elements include AWS managed services that facilitate the ingestion, storage, discovery, processing, and analysis of diverse data formats. To support clients in building their data lakes, AWS presents a thorough data lake solution that acts as an automated reference implementation, laying out a highly available and economical data lake architecture on the AWS Cloud, complemented by a user-friendly console for searching and accessing datasets. Additionally, this solution not only improves the accessibility of data but also simplifies the entire data management process, ultimately leading to enhanced operational efficiency for organizations. As a result, companies can leverage these advantages to make more informed decisions based on their data insights.

Media

Media

Integrations Supported

Dropbox
Evernote
Feefo
Freshdesk
GitHub
Gmail
Google Forms
Jira
Jira Work Management
Magellan AI
Microsoft OneNote
Microsoft Teams
Slack
Stackreaction
SurveyMonkey
VE3 DataWise
WON
X (Twitter)
Zapier
Zendesk

Integrations Supported

Dropbox
Evernote
Feefo
Freshdesk
GitHub
Gmail
Google Forms
Jira
Jira Work Management
Magellan AI
Microsoft OneNote
Microsoft Teams
Slack
Stackreaction
SurveyMonkey
VE3 DataWise
WON
X (Twitter)
Zapier
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$29/user/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dovetail Research

Date Founded

2017

Company Location

Australia

Company Website

dovetail.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/solutions/implementations/data-lake-solution/

Categories and Features

Experience Management

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

UX

Animation
For Mobile
For Websites
Heatmaps
Prototyping
Screen Activity Recording
Unmoderated Testing
Usability Testing
User Journeys
User Research

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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