Our framework blends agile methodology, DevOps maturity, and product thinking to ensure transparency, predictability, and high velocity from discovery through launch.
The Agile Delivery Framework defines how M10 Labs transforms ideas into scalable, production-ready software. It codifies our rhythm of collaboration, delivery discipline, and iterative learning across design, engineering, and product strategy.
1. Core Principles
Inspired by Agile Manifesto, SAFe, and Modern Delivery frameworks, our model is grounded in:
Customer Value First – Every sprint must deliver measurable user or business value.
Transparency & Trust – Shared visibility into progress, blockers, and decisions.
Continuous Improvement – Retrospectives drive actionable refinements every sprint.
Autonomy with Accountability – Teams operate independently but align to a unified delivery cadence.
Data-Driven Validation – Metrics, not assumptions, inform decisions.
Flow Efficiency – Limit WIP, shorten cycle times, and automate wherever possible.
2. Agile Delivery Framework Overview
We operate within a structured yet flexible delivery model that adapts to the size, complexity, and maturity of each engagement. Our bi-weekly sprints integrate design, engineering, and QA in a continuous feedback loop to ensure progress, alignment, and measurable outcomes.
Each release cycle follows four key stages:
1. Product Definition
Goal: Align stakeholders and translate business objectives into an actionable delivery plan.
Discovery workshops to clarify goals, constraints, and user needs
Technical feasibility assessments with engineering leadership
Success metrics established with measurable KPIs
Typical Outcomes
Clear product scope, sprint roadmap, and prioritized backlog aligned with strategic objectives.
2. UX & Design Planning
Goal: Turn strategy into tangible product experiences that balance usability, functionality, and scalability.
Rapid user research and persona validation
Information architecture, user flows, and low-fidelity wireframes
Interactive prototypes for usability testing and stakeholder feedback
Typical Outcomes
- High-fidelity design system and developer-ready Figma files that accelerate build velocity and ensure design consistency.
3. Build & Iterate
Goal: Deliver functional increments with continuous quality, alignment, and transparency.
Sprint planning and estimation using story points (Fibonacci model)
Integrated front-end and back-end teams delivering tested features each sprint
Daily stand-ups, sprint demos, and retrospectives to maintain momentum
Continuous integration and automated testing pipelines meeting enterprise SDLC standards
Typical Outcomes
Stable, production-ready code with full traceability and predictable release velocity.
4. Launch & Support
Goal: Deploy, validate, and support live environments with confidence.
End-to-end QA across environments (DEV → QA → STG → PROD).
Release management with live smoke testing and rollback strategy, SDLC Requirements
Post-launch performance monitoring and client sign-off.
Optional ongoing enhancement and optimization support.
3. Delivery Discipline
Release Management
Major releases: Quarterly for large feature rollouts.
Minor releases: Monthly for incremental updates.
Hotfixes: As needed for critical issues.
Each release includes a pre-release briefing, production smoke test, and retrospective report
Definition of Done (DoD)
A story is only complete when:
Code is reviewed, tested, and documented
Unit and automation tests meet agreed coverage thresholds
Product Owner and QA approval are secured
Code is merged, deployed to QA, and validated successfully
Acceptance Criteria
Every user story follows:
“As a [user], I want [function], so that [value].”
Acceptance is validated by functional walkthroughs and testable success conditions.
4. Collaboration Rhythm
| Ceremony | Purpose | Frequency | Led By |
|---|---|---|---|
| Daily Stand-Up | Synchronize progress, surface blockers | Daily | Scrum Master |
| Sprint Planning | Define goals, size stories, and commit scope | Bi-weekly | Scrum Master, PO |
| Backlog Grooming | Refine stories and acceptance criteria | Weekly | Product + Tech Leads |
| Sprint Review / Demo | Showcase delivered increments | End of Sprint | Scrum Master |
| Retrospective | Identify improvements and celebrate wins | End of Sprint | Scrum Master |
5. Reporting & Metrics
M10 Labs integrates real-time metrics across Jira, ClickUp, GitHub, and QA tools to ensure visibility into progress and performance.
| Metric | Purpose |
|---|---|
| Velocity (Story Points) | Track delivery consistency and team throughput |
| Sprint Burndown | Monitor progress toward sprint goals and identify blockers early |
| Cycle Time | Measure lead time from development start to production delivery |
| Code Coverage | Maintain engineering quality standards through automated testing visibility |
| Bug Ratio | Track QA efficiency and identify recurring issue patterns |
| Sprint Health Report | Evaluate overall project health, stability, and stakeholder alignment |
8. Continuous Improvement
We adopt a Kaizen mindset — improvement through reflection. Each sprint’s retrospective identifies:
Delivery blockers
Efficiency improvements
Automation opportunities
Process refinements
These learnings are documented in a central “Improvement Log” and reviewed quarterly with leadership (CTO + CPO + Scrum Master).
9. Integration with Transformation Consulting
Our Agile Delivery Framework directly supports Transformation Consulting, which scales this methodology across organizations by embedding product thinking and delivery excellence into client culture.