How Xamun xDD uses automated relative estimation to deliver transparent, accurate project planning
Story points are an abstract unit of measurement used in Agile software development to estimate the effort required to complete a user story or task. Unlike traditional time-based estimates (hours or days), story points consider multiple factors:
How technically challenging is the work? Does it require new skills or integration with unfamiliar systems?
How much work is involved? Consider coding, testing, documentation, and review time.
How much is unknown? Are there risks, dependencies, or unclear requirements?
Key Insight: Story points focus on relative sizing rather than absolute time, making estimates more accurate and less biased.
Research and real-world experience show that story points deliver better results than traditional time-based estimates:
The estimation process involves the entire team, ensuring diverse perspectives are considered and leading to shared understanding.
By focusing on relative sizing ("Is this twice as complex as that?"), teams provide more accurate estimates than guessing hours.
Teams can adjust workload based on capacity and challenges without the pressure of rigid time commitments.
Story points inherently consider complexity, risk, and unknown factors—providing a more comprehensive assessment.
The estimation process involves the entire team, ensuring diverse perspectives are considered and leading to shared understanding.
The estimation process involves the entire team, ensuring diverse perspectives are considered and leading to shared understanding.
Agile teams use the Fibonacci sequence (1, 2, 3, 5, 8, 13, 21, etc.) for story point estimation because it reflects a fundamental truth about complexity:
The Math Behind the Method
Increasing Uncertainty: As tasks grow larger, uncertainty and complexity increase non-linearly. The widening gaps in Fibonacci numbers (1→2 is +1, but 8→13 is +5) reflect this reality.
Forces Meaningful Discussions: The sequence prevents false precision. Teams can't agonize over whether something is a 7 or 8—they must decide if it's closer to 5 or 13.
Natural Grouping: Tasks naturally cluster around Fibonacci numbers, making it easier to compare and estimate relative complexity.
Prevents Over-Estimation of Large Tasks: The gaps force teams to break down large stories (13+) into smaller, more manageable pieces.
While traditional teams spend hours in planning poker sessions, Xamun automates relative estimation using AI—delivering consistent, accurate story points in seconds.
Below are three different real projects showing how story points translate to actual deliverables per sprint. Each example demonstrates the relationship between estimated complexity and expected outcomes.
Project Example 1: Feature breakdown with Fibonacci-based story points showing expected deliverables per sprint (e.g., 13-point features vs 5-point features)
Project Example 2: Different project showing how story points are distributed across features and what can be delivered within a sprint budget
Project Example 3: Another project example demonstrating sprint capacity and the relationship between story points and actual feature delivery
AI analyzes your requirements, breaking them into user stories and features
Evaluates complexity, dependencies, and technical requirements for each story
Automatically assigns Fibonacci-based story points using relative sizing
Monitors team velocity and refines estimates based on actual delivery data
With automated story point estimation, Xamun xDD provides transparent, predictable pricing based on story points delivered per month. No surprises, no scope creep—just clear expectations.
Real Example: Your MVP typically needs: Simple MVP = 2-3 sprints × Core | Standard MVP =2-3 sprints × Growth
*take note that package pricing differs from one development partner to another, book a meeting with the Xamun Team to learn more*
With story point-based planning, you decide what gets built first. Each sprint, you choose the feature set that fits your target story points—giving you maximum flexibility and control.
See all features with their story point estimates (e.g., Login: 3 pts, Dashboard: 8 pts)
Rank features by business value—what matters most to your users or revenue?
Select features that fit your sprint capacity (e.g., target 30 points for a 2-week sprint)
The xDD team builds your selected features and delivers working software
Example: If you have a 30-point sprint budget, you might choose: User Registration (5 pts) + Payment Processing (13 pts) + Email Notifications (5 pts) + Admin Dashboard (8 pts) = 31 points total
Here's an important truth about software development: not every sprint delivers exactly the same number of story points. And that's perfectly normal and expected.
- Technical surprises: Hidden complexity discovered during development
- Dependencies: Waiting for third-party APIs, design approvals, or clarifications
- Team learning: New team members ramping up or new technologies being adopted
- Overestimation: Sometimes tasks are simpler than anticipated
- Underestimation: Sometimes tasks are more complex than estimated
Sprint 1
points
Sprint 2
points
Sprint 3
points
Sprint 4
points
Average
points
Individual sprints varied from 26 to 34 points, but over 2 months averaged exactly 30 points.
Yes, velocity varies sprint-to-sprint. But averaging over months gives you predictable, reliable planning. This is far more accurate than:
❌ Time-based estimates that are always wrong
❌ Fixed-bid projects that hide overruns or cut scope
❌ Hourly billing with no delivery guarantees
✅ Story point velocity that converges to reliable averages
It's not perfect, but it's the best approach available for predictable software delivery.
Adjust priorities every sprint based on market feedback, customer needs, or business changes
See exactly what you're getting before the sprint starts—no surprises or scope creep
Know your monthly cost upfront—plan features around your budget constraints
Change direction every 2 weeks if needed—no long contracts or commitment penalties
❌ Hours spent in planning poker sessions
❌ Inconsistent estimates between team members
❌ Biases and groupthink affect accuracy
❌ Re-estimation needed when team changes
❌ No historical data for accuracy improvement
✅ Instant story point generation in seconds
✅ 95%+ accuracy using AI analysis
✅ Objective, bias-free estimations
✅ Consistent estimates across all projects
✅ Continuous learning from delivery data
Stop guessing timelines and budgets. With Xamun's automated story point estimation, you'll know exactly what you're getting, when you're getting it, and what it costs—before development even begins.
Xamun.AI is an AI-native SDLC platform that transforms business requirements into working software in just 2-4 weeks. Sometimes called AI-native SDLC platform, we enable large enterprises undergoing digital transformation to rapidly deploy custom software solutions without requiring technical expertise, while maintaining complete source code ownership and enterprise-grade quality.
Enterprise Digital Transformation Teams: CIOs, CDOs, and digital transformation leaders at large enterprises who need to accelerate their digital initiatives.
However, it may also be used by early to growth-stage startups with funding who need to rapidly develop their product (without diverting resources to building large technical teams) as well as executives with clear business needs who require custom software solutions but lack technical teams.
Xamun.AI reimagines the entire software development lifecycle (SDLC):
Our AI agents generate and optimize code at unprecedented speed
Your team will just review & refine AI output rather than designing & writing code from scratch
Projects are divided into optimal units for parallel development
Each unit (approximately 30 screens) is delivered in 2-3 weeks
This approach delivers 8-10x faster development speed compared to traditional methods
The result is approximately 35% lower cost compared to quality development shops in Asia
Xamun.AI builds applications using a micro-monolith cloud-native architecture. This approach:
Creates cohesive, self-contained application units (typically around 30 screens per unit)
Enables independent deployment and scaling
Maintains the simplicity of monolithic applications while providing the flexibility of microservices
Optimizes for both development speed and performance
Supports modern cloud deployment practices
Quality is maintained through:
AI agents that consistently apply best practices and patterns
Expert human oversight at critical decision points
Automated testing integrated into the development process
The micro-monolith architecture that simplifies testing and validation
Standardized quality assurance processes for all units
Xamun.AI offers transparent, value-based pricing:
DesignStudio: $30 per project for instant specifications and prototypes. Xamun.AI also offers premium services that come with consultation sessions.
BuildStudio: On the average, approximately $40K (around 30 screens), with total project costbased on the software’s size and complexity. This includes all development, quality assurance, and initial deployment support, with no hidden costs or ongoing subscription fees. Optional add-ons such as maintenance, VAPT, etc. are also available.
BuildStudio: Starting in July 2025, Xamun.AI will also offer self-service subscription where users can build software on a pay-as-you-use credit system.
Definitely. Our structured approach scales efficiently forlarge enterprise applications:
Multiple units are developed in parallel to maintain speed
Each 30-screen unit is delivered in 2-3 weeks
Complex applications are broken down into manageable units
Integration between units follows standardized patterns
This approach has successfully delivered applications with hundreds of screens
Enterprise teams and funded startups can begin in one of three ways:
Quick Start: Try our DesignStudio for $30 to generate full specifications and a functioning prototype/proof-of-concept
Book a Meeting: Schedule a 30-minute consultation focusing on your digital transformation goals and we can deep-dive into how we can help
With our AI-native SDLC approach and unit-based structure:
DesignStudio provides immediate specifications and prototypes
Development teams can be assigned within days, not weeks
The first unit typically begins development within a week of requirements approval
Parallel unit development starts as soon as unit boundaries are defined
This rapid mobilization is part of how we achieve 8-10x faster delivery
Xamun.AI delivers enterprise-grade technical results:
Clean, maintainable code that follows industry best practices
Optimized database design and query patterns
Responsive UI that works across devices
Comprehensive API documentation
Containerization-ready applications
Find out how Xamun stacks up vs traditional ground-up development, and how we compare to low-code/no-code and other AI-powered software development platforms
Learn how Xamun leverages AI to improve the entire software development lifecycle for both startups and mid-sized companies
See what people are asking about Xamun and learn why we’re the best option out there for your custom software development needs
Read blogs on software development and how you can transform the traditional process through new technologies such as AI
Access free ebooks on accelerating digital transformation through various tools, including AI-augmented software development
Browse through our collection of concepts and their definitions and build your proficiency in digital transformation and AI
Choosing the right AI-Native SDLC platform can be confusing, let's meet so we can answer your most pressing questions! You can also inquire via email.
