Deep Dive into ADPD³

ADPD³ - Adoption Driven Product Design, Development and Delivery

ADPD³ isn't just another methodology—it's the first systematic approach to engineering software adoption. Let's explore how it works and why it's different.

Why Existing Methodologies Miss the Mark

Every popular methodology optimizes for something important—but none optimize for the thing that matters most: adoption.

What's the fundamental difference?
Traditional methodologies assume that if you build good software, users will adopt it. ADPD³ engineers adoption into every decision from day one.
⚡
Agile
Focus: Delivery Speed
Optimizes for rapid iterations, responding to change, and shipping features quickly. Assumes that fast delivery leads to better outcomes.
Result: Fast delivery → Hope for adoption
🚪
Stage-Gate
Focus: Risk Management
Optimizes for reducing financial and technical risk through rigorous checkpoints. Great for preventing bad investments.
Result: Risk reduction → Hope for adoption
💡
Design Thinking
Focus: User Desirability
Optimizes for understanding user needs and creating desirable solutions through empathy and ideation. Great for innovation.
Result: Desirable solutions → Hope for adoption
🎯
ADPD³
Focus: Adoption Engineering
Optimizes explicitly for user adoption through systematic gates that eliminate friction and design for mainstream users from day one.
Result: Adoption engineering → Guaranteed user focus

The FUSE Framework: Adoption Engineering

The systematic approach to eliminating adoption barriers and designing for mainstream users.

FUSE isn't just a checklist—it's a framework for thinking about adoption systematically. Each dimension addresses a different reason why users abandon software.

F
Findability
Can users discover your feature when they need it? If they can't find it, everything else is irrelevant.
"The search function is buried three clicks deep in the menu structure"
U
Understandability
Do users immediately grasp what your feature does and why they should care?
"The button says 'Optimize Workflow' but users don't know what that means"
S
Shippability
Is your feature reliable, secure, and performant enough for real-world use?
"The feature works in demo but crashes under normal user load"
E
Ease of Use
Can users complete their tasks efficiently without frustration?
"Users need 12 clicks to do what should be a 2-click operation"

The 7-Gate System: ADPD³ in Action

Each gate answers a critical question and builds toward adoption. Click any gate to see how it works.

The 7 gates work like quality checkpoints in manufacturing—nothing proceeds until it meets adoption criteria. This prevents the #1 cause of software failure: building things users don't want or can't use.

Gate 1
Outcome
Outcome Gate
Why are we building this?
Establishes clear, measurable strategic goals owned by leadership. No project proceeds without a defined outcome and success criteria.
Inputs Required:
Business context, strategic priorities, stakeholder alignment
Key Activities:
Define measurable outcomes, establish value measures, secure leadership ownership
Exit Criteria:
Clear outcome statement, quantifiable success metrics, leadership sign-off
Common Failure:
Vague goals like "improve user experience" instead of "increase task completion rate by 25%"
Gate 2
Value
Value Gate
Is this worth building?
Filters proposed features for strategic necessity. Only Essential and Important initiatives proceed—Desirable features get deferred.
Inputs Required:
Feature proposals, business requirements, resource constraints
Key Activities:
Assess strategic alignment, prioritize as Essential/Important/Desirable, validate necessity
Exit Criteria:
Clear priority classification, stakeholder agreement, go/no-go decision
Common Failure:
Building "nice-to-have" features that dilute focus from essential functionality
Gate 3
Design
Adoption Design Gate
Will mainstream users adopt this?
Engineers the solution for adoption using FUSE criteria. Designs for the "elevator riders" (mainstream users), not just "mountain climbers" (early adopters).
Inputs Required:
Approved feature concept, user research, design constraints
Key Activities:
Apply FUSE framework, create adoption-focused designs, optimize for mainstream users
Exit Criteria:
MAS score of 5+ across FUSE dimensions, mainstream-user validation
Common Failure:
Designing for power users or early adopters, ignoring mainstream adoption barriers
Gate 4
Validate
Validation Gate
Do users actually want this?
Tests designs with real users through prototypes. Validates assumptions before major development investment.
Inputs Required:
Adoption-ready designs, target user segments, testing protocols
Key Activities:
Create interactive prototypes, conduct user testing, validate FUSE assumptions
Exit Criteria:
Positive user feedback, validated FUSE scores, confirmed adoption potential
Common Failure:
Skipping validation due to time pressure, then discovering issues post-launch
Gate 5
Build
Resilient Build Gate
Is this built for real-world use?
Focuses on quality, reliability, and performance. Implements the "Shippability" aspect of FUSE to ensure the solution works under real conditions.
Inputs Required:
Validated designs, technical specifications, quality standards
Key Activities:
Implement with quality focus, performance testing, security validation, scalability prep
Exit Criteria:
Performance benchmarks met, security validated, reliability confirmed
Common Failure:
Rushing to ship without proper quality validation, leading to user frustration
Gate 6
Check
Adoption Confirmation Gate
Are users actually adopting this?
Measures real-world usage and adoption metrics. Compares actual performance against predictions from earlier gates.
Inputs Required:
Deployed solution, analytics setup, success metrics from Gate 1
Key Activities:
Track adoption metrics, analyze user behavior, identify friction points
Exit Criteria:
Clear adoption data, friction analysis, recommendations for improvement
Common Failure:
Measuring vanity metrics instead of actual adoption and usage patterns
Gate 7
Iterate
Iteration Gate
What do we fix or build next?
Prioritizes improvements based on adoption data. Follows "Fix Adoption First" rule—address usage barriers before building new features.
Inputs Required:
Adoption analysis from Gate 6, feature backlog, resource constraints
Key Activities:
Prioritize adoption fixes, plan next features, update backlog based on data
Exit Criteria:
Clear next-iteration plan, adoption issues addressed, new features prioritized
Common Failure:
Building new features while ignoring adoption issues in existing functionality

What ADPD³ Is (And Isn't)

ADPD³ is specialized for one critical task: creating enterprise-class backlogs designed for adoption.

The Perfect Funnel
ADPD³ isn't meant to replace your project management tools. It's designed to feed them with better requirements. Think of it as the specialized "backlog factory" that creates adoption-focused requirements for your existing development workflow.
✓
What ADPD³ IS
Specialized backlog creation tool
• Guides requirements through 7 adoption-focused gates
• Applies FUSE framework to eliminate friction
• Creates enterprise-class requirements
• Exports to any development platform
• Perfect for idea-to-backlog transformation
✗
What ADPD³ is NOT
Project management replacement
• Not trying to replace Jira, Azure DevOps
• Not a code repository or CI/CD system
• Not a team communication platform
• Not sprint planning or velocity tracking
• Not trying to do everything for everyone

The Perfect Workflow

ADPD³ → Your Development Tools
Create adoption-focused backlogs in Parinama, then export to Jira, Azure DevOps, GitHub, or wherever your team manages development. Each tool does what it does best.

Case Study: Building Parinama with ADPD³

See how we used our own methodology to create enterprise software through AI-human collaboration

Parinama wasn't just built with AI—it was built using ADPD³ methodology to ensure every feature would be adopted. Here's how each gate shaped the final product:
Gate 1 - Outcome:
"Enable anyone with an idea to create enterprise-class backlogs." Clear, measurable, owned by the creator.
Gate 2 - Value:
Only Essential features made it in: ADPD³ workflow, FUSE scoring, AI assistance, export capabilities. Everything else was deferred.
Gate 3 - Design:
Designed for both novices and experts. Simple workflow for beginners, advanced features for pros. Every interface tested for FUSE criteria.
Gate 4 - Validation:
Tested prototypes with product managers across experience levels. Iterated on feedback before full development.
Gate 5 - Build:
AI wrote every line of code, but human requirements ensured quality, performance, and reliability standards.
Gate 6 - Check:
Beta users are actively using core features. Low abandonment rates. High completion of ADPD³ workflows.
Gate 7 - Iterate:
Current focus: improving onboarding for first-time users based on usage data. New features only after adoption is optimized.
Result: Complex enterprise software that users actually adopt, built entirely through AI-human collaboration.

Ready to Put ADPD³ Into Practice?

You've seen how the methodology works. Now experience it in action with Parinama—the platform that makes ADPD³ seamless.

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