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Description
Prequel is a collaborative platform focused on identifying and managing issues, specifically crafted for fast-paced engineering teams aiming to deliver more dependable software. By harnessing collective failure insights from various platforms such as GitHub discussions, Discord conversations, and post-mortem analyses, Prequel converts this data into a versatile repository of problem detectors that address open-source bugs, configuration errors, and software design flaws. The system boasts accurate, deterministic detection capabilities, minimizing dependence on unreliable threshold or anomaly-based notifications while functioning in real-time to pinpoint problems at their inception. With a rapid installation time of just ten minutes that avoids the need for intricate integrations or code changes, Prequel fits effortlessly into current workflows. Its architecture operates within the cluster, utilizing community knowledge to process a continuous influx of detailed data, all while maintaining the confidentiality and integrity of the information within the cluster. This approach not only enhances security but also streamlines the identification of potential issues, allowing teams to focus on improving their software development processes.
Description
Stay attuned to the nuances of product quality with unitQ Monitor, which evaluates key customer feedback channels—such as App Store reviews, Zendesk inquiries, and social media platforms—in more than 100 languages to identify potential product issues as they arise. With a wealth of user opinions circulating about your product, unitQ Monitor empowers you to actively listen. Through comprehensive cross-channel monitoring, unitQ Monitor meticulously examines customer sentiments across various platforms, including the App Store, Zendesk, Reddit, and Twitter, among others. The insights gained are not confined to a specific locale; they are globally sourced, as we translate feedback from over 100 languages into English for broader analysis. By leveraging machine learning, we effectively sift through translated feedback to minimize noise and false alarms, bringing to light actionable Quality Issues that might otherwise go unnoticed. Additionally, unitQ Monitor provides real-time dashboards and reports that highlight trending Quality Issues, ensuring you remain informed about the most pressing concerns your customers have. This proactive approach allows businesses to swiftly address issues and enhance overall customer satisfaction.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Discord
GitHub
Google Cloud Platform
Microsoft Azure
Reddit
Integrations
Amazon Web Services (AWS)
Discord
GitHub
Google Cloud Platform
Microsoft Azure
Reddit
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Prequel
Website
www.prequel.dev/
Vendor Details
Company Name
unitQ
Founded
2018
Country
United States
Website
www.unitq.com
Product Features
Bug Tracking
Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management
Product Features
Bug Tracking
Backlog Management
Filtering
Issue Tracking
Release Management
Task Management
Ticket Management
Workflow Management
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis
Reputation Management
Campaign Management
Gamification
Response Management
Review Generation
Review Monitoring
Sentiment Analysis
Social Media Metrics
Social Media Monitoring
White Label
Review Management
Campaign Management
Dashboard
Negative Feedback Management
Response Management
Review Monitoring
Review Notification
Review Request
Sentiment Analysis
Social Sharing
White Label