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Description
The Product Risk Framework is an advanced business intelligence solution designed to assist product development teams in evaluating the risks, limitations, and uncertainties tied to new initiatives. Owned by Strategy 2 Market, this tool focuses on supporting medium to large companies in refining their product development processes. The Product Risk Framework™ functions as a software resource for product developers, facilitating the identification, assessment, and prioritization of the most critical uncertainties and risks linked to product concepts. By utilizing principles from behavioral economics, it effectively uncovers uncertainties while monitoring the progress of risk mitigation from the initial idea to the product launch, ultimately improving decision-making through effective data visualization. Additionally, the Product Risk Framework was awarded a STEM I-Corp Grant by the National Science Foundation, with sponsorship from the University of Chicago, highlighting its innovative approach in the field. This recognition underscores the framework's value in advancing product development practices.
Description
The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Product Risk Framework
Country
United States
Website
www.productdevelopmentrisk.com
Vendor Details
Company Name
Qualisyst
Founded
1994
Country
Bulgaria
Website
www.qsyst.com/qualisyst_en.htm
Product Features
Product Management
Collaboration
Feedback Collection
Idea Management
Milestone Tracking
Prioritization
Product Roadmapping
Release Management
Requirements Management
Resource Management
Workflow Management
Project Portfolio Management
Budget Management
Collaboration
Dashboard
Issue Management
Milestone Tracking
Portfolio Management
Project Planning
Requirements Management
Resource Management
Status Tracking
Task Management
Time & Expense Tracking
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
