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Indicates the technical and business difficulty of the project. Higher complexity may lead to more risks and delays.

Represents how clearly the project scope is defined. Clearer scope helps reduce uncertainty and change requests.

Measures how quickly the client expects the project to be completed. High urgency may reduce time for testing and planning.

A preliminary estimation of whether the project is likely to be completed within the planned timeline.

Estimated cost of the full project. Affects resource allocation and planning strategies.

Project-Specific Inputs

These fields describe how complex, urgent, and well-defined your project is. More complex or vague projects usually face more challenges.

Defines how the team is structured within the organization. Projectized teams are fully dedicated, while Functional ones have more rigid chains.

What the client values most: fast delivery (Time), lower costs (Cost), or top-notch quality (Quality).

Level of monitoring used during execution — dashboards, KPIs, and regular reviews indicate stronger control.

Measures how thoroughly risks are identified, tracked, and mitigated in the project.

Organizational Context

Organizational structure and client priorities shape how fast and efficiently decisions are made. Strong monitoring and risk management improve project control.

Average number of years your developers have been coding professionally. More experience usually means better quality.

Experience of the project manager in years. More experience means better planning, mitigation, and delivery handling.

Team's understanding of Software Development Life Cycle (SDLC) such as Agile, Scrum, or Waterfall.

How often end-users are engaged during development — such as in feedback loops or testing.

Measures how clearly and frequently the team shares updates internally and externally.

Team Experience & Collaboration

These factors reflect how skilled your team is and how well they work together. Strong teams with good communication and user input often perform better.

Familiarity with tools used during development like Git, Docker, CI/CD pipelines.

Does your system need to integrate with older software or databases? Legacy systems often cause complexity.

How experienced the team is with the chosen tech stack (e.g., React, Django, AWS).

Approach to quality assurance — automated tools, manual testing, or a hybrid.

Technology & Tools

Familiarity with tools and technologies can drastically affect productivity. Integration with legacy systems may increase complexity.