1. Budget

Earned value management

• Program-level budget monitoring, reporting, and control
• Performing immediate corrective action to keep the project on track
• Analyzing root causes of emerging issues
• Daily reporting on performance indexes
• Variance detection
• TCO analysis

2. Schedule

97% release predictability

• Team velocity calculation
• Risk evaluation
• Product backlog estimation on epic and story level
• Continuous monitoring, reporting, and control
• Planning risk-based velocity estimation
• Establishing the number of iterations for a release

3. Requirments

Big picture, detailed

• Requirements elaboration and formalization
• Interdependency identification
• Requirements testing
• Flexible requirements change management

4. Communication

Productive collaboration

• Regular health checks
• A single shared workspace
• Structured knowledge management
• Voice- and video-conferencing
• On-site meetings
• Thorough reporting on project status

5. Knowledge

Structured and retained

• Versioned document management
• Powerful asset management
• Data is accompanied by easy-to-understand charts and graphs
• Analytics dashboards
• Transparent 360-degree reporting
• Routine use of the Atlassian stack with a focus on Confluence

Integrated QA process

• Adaptive testing strategy, end-to-end coverage
• Separate teams dedicated to specific types of testing, such as functional, usability, acceptance, etc.
• Involving QA experts as early as possible
• Keeping the testing parallel to development
• Enabling the team to discover and fix problems before they become costly

7. Support

Maintenance and Support

• After deploying to production, we can additionally provide two maintenance and support options upon the client’s request.
• Ad-hoc support.
• Issues are resolved following an ad-hoc request. The client pays only for the actual effort.
• Dedicated monthly support.
• A dedicated team of engineers resolves issues on a monthly basis. The client pays an hourly rate based on the level of engineers allocated.