Digital.ai

Digital.ai Agility

Composite Score

7.8 /10

CX Score

8.1 /10

36 Reviews Write a Review

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What is Digital.ai Agility?

Digital.ai Agility (formerly VersionOne) is an industry-leading enterprise agile planning solution that drives consistency and efficiency by scaling agile practices across all levels, from teams to the entire product portfolio.

Company Details

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Awards & Recognition

Digital.ai Agility won the following awards in the Application Lifecycle Management category

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2 Top Rated Capabilities

3 Top Rated Features

2024

2023 Data Quadrant Champion

2023

1 Top Rated Capabilities

2 Top Rated Features

2023

2023 Emotional Footprint Champion

2023

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2022 Data Quadrant Champion

2022

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

Digital.ai Agility Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Digital.ai Agility.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

91 Likeliness to Recommend

97 Plan to Renew

1
Since last award

87 Satisfaction of Cost Relative to Value

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 94%
Negotiation and Contract:: 90%
Conflict Resolution:: 95%
Strategy & Innovation:: 91%
Service Experience:: 93%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+92 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Digital.ai Agility?

0% Negative

6% Neutral

94% Positive

Pros

Trustworthy
Fair
Efficient Service
Unique Features

Feature Ratings

Average 82

Bug Tracking & Issue Mgmt

Visual Analysis Design

Workflow Management

Artifact Management

Traceability

ALM Integration

Automation

Agile Work Management

Resource Planning

Analytics and Reporting

Managed Artifact Repository

Vendor Capability Ratings

Average 80

Ease of IT Administration

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training

Digital.ai Agility Reviews

Jayson D.

Role: Information Technology
Industry: Biotechnology
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Jan 2020

Good survey

Likeliness to Recommend

8 /10

What differentiates Digital.ai Agility from other similar products?

Good and reliable

What is your favorite aspect of this product?

Cheap and reliable

What do you dislike most about this product?

None almost perfect

What recommendations would you give to someone considering this product?

Technical support

Pros

Reliable
Unique Features
Efficient Service
Effective Service

Digital.ai Agility

What is Digital.ai Agility?

Company Details

Need Assistance?

Awards & Recognition

2023 Data Quadrant Champion

2023 Emotional Footprint Champion

2022 Data Quadrant Champion

2022 Emotional Footprint Champion

Digital.ai Agility Ratings

91 Likeliness to Recommend

97 Plan to Renew

1 Since last award

87 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Digital.ai Agility?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Bug Tracking & Issue Mgmt Supports the ability to create tests and acceptance criteria and assign, prioritize, track, and resolve tests,related bugs, and issues.

Visual Analysis Design Can create and manage context diagrams, business process models, use cases, data flow diagrams, sequence diagrams, data models, and UI mockups, etc.

Workflow Management Custom workflows can be created, managed, and monitored for artifacts, processes and practices to govern and streamline ALM work.

Artifact Management ALM artifacts can be readily created, reused, moved, and managed through baselines, reviews, approvals, releases, and audits for projects and products.

Traceability ALM artifacts can be traced from ideation to requirements, design, develop, test, and implementation.

ALM Integration Integrate artifacts across ALM phases such as requirements, analysis, design, development, and testing, either internally or through an API.

Automation Manual activities such as traceability, test generation, artifact state changes, integrations, and artifact creation can be automated to streamline ALM work.

Agile Work Management Multiple backlogs, backlog grooming, sprint planning, prioritization, and estimation, and a multi-level agile artifact hierarchy (Epics, User Stories, etc.)

Resource Planning Assigning resources to activities and estimates to manage workloads, support project management, and ensure completion of work related to ALM artifacts, including dashboards to manage multiple teams

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

Managed Artifact Repository Artifacts are stored in version controlled repository that supports check out, update, check-in, and collaboration across multiple types and workspaces.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Digital.ai Agility Reviews

Jayson D.

Good survey

Likeliness to Recommend

Pros

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Feature Ratings

Bug Tracking & Issue Mgmt

Visual Analysis Design

Workflow Management

Artifact Management

Traceability

ALM Integration

Automation

Agile Work Management

Resource Planning

Analytics and Reporting

Managed Artifact Repository

Vendor Capability Ratings

Ease of IT Administration

Ease of Implementation

Business Value Created

Usability and Intuitiveness

Quality of Features

Ease of Data Integration

Ease of Customization

Vendor Support

Product Strategy and Rate of Improvement

Breadth of Features

Availability and Quality of Training