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    Allerin

    Stop Buying Hours.
    Start Getting Outcomes.

    Traditional staff augmentation gives you developers. You still provide the management, the process, and the accountability. When things go wrong, it's your problem. When people leave, the knowledge walks out the door. You're paying for hours, hoping for results.

    Product Pods are different. Dedicated, cross-functional teams that own your product delivery from sprint to sprint. Outcome accountability built in. Knowledge transfer guaranteed. You get a partner invested in your success—not a vendor counting billable hours.

    Outcome accountability, not just hoursKnowledge transfer guaranteedUS-led delivery from Austin HQ

    At a Glance

    Timeline: Ongoing engagement; monthly or quarterly renewal
    Team Size: Pod Lead (1 FTE): sprint planning, risk mitigation, stakeholder syncFrontend Engineers (2 FTE): component library, UI/UX, accessibility, performanceBackend Engineers (2 FTE): API design, data models, integrations, securityQA Engineer (1 FTE): test automation, regression, performance, bug triageProduct Manager (0.5 FTE): feature prioritization, acceptance criteria, metrics
    Typical ROI: Contact for estimate
    Best For: retail, finance, manufacturing

    What is a Product Pod?

    A Product Pod is a dedicated, cross-functional development team that owns continuous product delivery with outcome accountability. Unlike staff augmentation where you manage individual contractors, a Pod operates as an integrated unit with its own leadership, built-in Agile delivery process, and shared responsibility for results. The pod model for software development transforms how organizations build digital products—moving from buying hours to buying outcomes.

    Think of it as a dedicated team model meets agile squad services—a self-managing unit of specialists (developers, QA, DevOps, design) who work together long-term on your product. Product-oriented delivery means the Pod isn't measured by utilization rates or billable hours, but by features shipped, velocity maintained, and business outcomes achieved.

    The Dedicated Development Team Market

    $340B
    IT staff augmentation market in 2024
    13.7%
    CAGR growth to $1.2T by 2033
    72%
    of tech leaders plan to scale via external teams in 2025
    25%
    productivity gain from agile pod teams

    Why Organizations Are Moving to Dedicated Team Services

    Outcome-based software development replaces hours-based billing
    Results-oriented development teams with built-in accountability
    Continuous delivery teams ship 40% faster than traditional outsourcing
    Knowledge transfer by design eliminates vendor lock-in

    The Staff Augmentation Trap: Hours Without Outcomes

    You've tried staff augmentation. Maybe more than once. You brought in developers to accelerate your roadmap. What you got was a different kind of burden.

    External contractors who needed constant management. People treating your project as one of many, not their top priority. Knowledge walking out the door when engagements end. "Resources" who delivered lines of code but not business outcomes.

    The Management Burden

    Staff augmentation gives you developers. Managing them? That's still on you. Defining work, running sprints, unblocking issues, reviewing code—you're not getting capacity, you're getting more work.

    The Real Cost: More management overhead, not less

    The Accountability Gap

    When external developers miss deadlines or deliver buggy code, who's responsible? In traditional augmentation, you are. The vendor provided resources—what happens with them is your problem.

    The Real Cost: Risk stays with you, vendor gets paid regardless

    The Knowledge Drain

    After 18 months of working with external developers, they leave. Where does the knowledge go? With them. Undocumented decisions, tribal knowledge, context—all gone.

    The Real Cost: Repeated ramp-up, lost institutional knowledge

    The Commitment Problem

    Your external developers are working on three other projects. Your Slack messages compete with other clients. Your priorities compete with theirs. Full-time rates, fractional attention.

    The Real Cost: Split focus, delayed responses, competing priorities

    The Process Vacuum

    Staff augmentation assumes you have strong delivery processes. Most organizations don't. You're adding developers to a broken pipeline—more throughput into the same bottlenecks.

    The Real Cost: More developers, same velocity

    Outcome-Based Software Development: Why Pods Deliver Better Results

    A Product Pod isn't just a dedicated software development team—it's a complete delivery system built for product-oriented delivery. Cross-functional specialists who work together long-term as an agile squad, dedicated to your product, accountable for outcomes. You don't manage individual contractors. You partner with a results-oriented development team that owns delivery.

    Outcome Accountability You Can Measure

    Unlike traditional software development team outsourcing, Pods aren't measured by hours worked. We're measured by features shipped, velocity trends, sprint commitments met, production stability. Our success is tied to yours—not to maximizing billable time. This is outcome-based software development in practice.

    How It Works: Defined outcome metrics, regular measurement, shared accountability for hitting targets.

    Built-In Delivery Process

    Every Pod comes with Agile delivery baked in. Sprint planning, daily standups, demos, retrospectives—you don't build the process, we bring it. The Pod Lead manages execution; you focus on what to build.

    How It Works: Agile ceremonies, clear cadence, managed by Pod Lead. You participate in planning and reviews, we handle execution.

    Knowledge Transfer by Design

    Knowledge shouldn't be locked in our heads. Every Pod engagement includes documentation, code reviews with your team, pairing sessions, and explicit knowledge transfer milestones.

    How It Works: Living documentation, shadowing opportunities, gradual handoff process, no vendor lock-in.

    True Dedication

    Your Pod works on your product. Not yours and three others. Full-time commitment means context stays loaded, responses are immediate, and your priorities are their only priorities.

    How It Works: Pod members work exclusively on your product. Your roadmap is their roadmap.

    From Kickoff to Continuous Delivery: The Pod Lifecycle

    A structured engagement that moves fast without cutting corners. Here's how your Pod engagement unfolds:

    1
    Weeks 1-3

    Discovery & Pod Assembly

    Before a single line of code, we understand your product, goals, and constraints. Then we assemble the right Pod for your needs.

    Activities

    Product discoveryArchitecture reviewPod compositionTeam selection

    Deliverables

    • Pod charter
    • Technical documentation
    • Sprint zero plan
    • Communication protocols
    2
    Weeks 2-4

    Sprint Zero & Foundation

    The Pod ramps up, establishes velocity baseline, and ships initial deliverables to demonstrate value fast.

    Activities

    Environment setupCI/CD pipelineFirst sprint planningInitial development

    Deliverables

    • Working pipeline
    • First sprint completed
    • Velocity baseline
    • Retrospective learnings
    3
    Ongoing

    Continuous Delivery

    The Pod hits cruising altitude—predictable sprints, regular demos, continuous improvement.

    2-Week Sprint Cadence

    Day 1
    Sprint Planning
    Daily
    Standups (15 min)
    Mid-Sprint
    Progress Check-in
    Day 10
    Sprint Demo
    End
    Retro & Release
    4
    Ongoing

    Knowledge Transfer & Evolution

    Throughout engagement—not just at the end—knowledge flows to your team. No vendor lock-in.

    Continuous Activities

    Real-time documentationCode review participationPairing sessionsHandoff milestones

    Exit Ready: Your team can take over any time with full context

    Accountability You Can Measure

    "Outcome accountability" isn't a slogan—it's measurable. Every Pod tracks metrics that matter, reviewed together regularly.

    Delivery Metrics

    Sprint Commitment RateTarget: 85%+
    Velocity TrendStory points over time

    Release Frequency

    2-5×/week

    Lead Time

    <5 days

    Quality Metrics

    Bug Escape RateTarget: <5%

    Bugs caught before production

    Test CoverageTarget: 80%+

    Production Incidents

    <2/month

    Tech Debt Ratio

    <15%

    Collaboration Metrics

    Knowledge Transfer CompletionTracked monthly

    Documentation, pairing, handoff milestones

    Stakeholder SatisfactionNPS surveys
    9/10

    Response Time

    <4 hours

    Transparency

    Weekly reports

    Business Impact

    Feature AdoptionUsage tracking

    Are features being used as intended?

    Time to ValueFirst value: <30 days

    Product Goal Progress

    OKR alignment tracked quarterly with your leadership

    Full Transparency: All metrics shared in weekly reports and sprint retrospectives. You see what we see—no hidden dashboards.

    Choosing the Right Model

    Not every engagement model fits every need. Here's how Product Pods compare to the alternatives—so you can make the right choice.

    Product Pods vs. Staff Augmentation

    From contractors you manage to a team that delivers

    DimensionStaff AugmentationProduct Pods
    You GetIndividual developersIntegrated, cross-functional team
    ManagementYou manage day-to-dayPod Lead manages delivery
    AccountabilityHours workedOutcomes delivered
    ProcessYou provide methodologyBuilt-in Agile with ceremonies
    CommitmentOften part-time or splitFull dedication to your product
    KnowledgeWalks away when contract endsTransferred to your team

    When Product Pods Are the Right Choice

    You need a team, not just individuals
    Ongoing development, not a one-time project
    You want delivery management included
    Knowledge transfer matters for your org
    Outcome accountability > tracking hours
    Speed to value is a priority

    Not sure? We'll help you evaluate during discovery. Sometimes staff aug or a fixed project makes more sense—we'll tell you.

    Where Product Pods Deliver Value

    Different companies, different challenges—same need for reliable product delivery. Here's where Pods make the biggest impact.

    Frequently Asked Questions

    Common questions about working with Product Pods

    Flexible Engagement Options

    Choose the engagement model that fits your needs—from discovery to multi-Pod scale.

    Exploration

    Discovery Engagement

    Validate before committing

    $25K–$50K
    One-time investment
    2-4 weeks
    Discovery workshops
    Architecture assessment
    Initial backlog definition
    Proof-of-concept
    Pod recommendation
    Launch

    Starter Pod

    MVPs & focused initiatives

    $60K–$85K
    Per month
    4-5 people • 3 month min
    Pod Lead / Delivery Manager
    2 Full-Stack Developers
    QA Engineer
    Shared DevOps
    Built-in Agile process
    Most Popular
    Scale

    Standard Pod

    Growth-stage acceleration

    $100K–$150K
    Per month
    6-8 people • 6 month min
    Pod Lead / Delivery Manager
    3-4 Full-Stack Developers
    Dedicated QA Engineer
    Dedicated DevOps
    UX/UI Designer
    Enterprise

    Growth Pod

    Multi-track development

    $150K–$300K+
    Per Pod, per month
    8-12+ people • 12 month min
    Everything in Standard
    4-6 Full-Stack Developers
    Multiple QA Engineers
    Business Analyst
    Multi-Pod coordination

    All pricing includes management overhead, tools, and process. No hidden fees.

    Pod Catalog

    Purpose-built teams for your technology stack. Each pod delivers predictable throughput with measurable SLAs and quality gates.

    6 FTE

    App Pod

    React/Rails/Node

    Typical Deliverables:
    • Feature velocity 8-10/sprint
    • E2E test coverage >85%
    • Mobile-first responsive
    5 FTE

    CV Pod

    PyTorch/DeepStream/ONNX/TensorRT

    Typical Deliverables:
    • Edge deployment pipeline
    • mAP >0.85 validation
    • Inference <100ms p95
    5 FTE

    GenAI Pod

    LangGraph/OpenAI/Claude/local

    Typical Deliverables:
    • Guardrails + eval gates
    • HITL review console
    • Cost/transaction tracking
    4 FTE

    Data & BI Pod

    dbt/Lakehouse/BI

    Typical Deliverables:
    • Data quality gates
    • Scheduled pipelines
    • Self-service dashboards
    4 FTE

    Platform/MLOps Pod

    K8s/Terraform/GitHub Actions

    Typical Deliverables:
    • IaC + GitOps workflow
    • Zero-downtime deploys
    • Observability stack

    Full-Stack Development Team Expertise Across Every Layer

    Pods are composed based on your technology stack. We hire dedicated development team specialists across frontend, backend, mobile, cloud, and AI/ML—so your Pod has exactly the skills you need.

    Frontend Development

    React, Vue, Angular, Next.js, TypeScript. Modern SPAs, SSR/SSG, design systems, accessibility.

    React
    TypeScript
    Next.js
    Vue

    Backend Development

    Node.js, Python, Ruby on Rails, Go, Java/.NET. APIs, microservices, event-driven systems.

    Node.js
    Python
    Rails
    Go

    Mobile App Development

    iOS (Swift), Android (Kotlin), cross-platform (React Native, Flutter). Native performance, hybrid efficiency.

    iOS
    Android
    React Native
    Flutter

    Cloud Development Team

    AWS, GCP, Azure. Infrastructure as code, Kubernetes, serverless, multi-cloud strategies.

    AWS
    GCP
    Azure
    Kubernetes

    AI Development Team

    LLM integration, RAG systems, ML pipelines, computer vision, NLP. From POC to production AI.

    LLMs
    RAG
    ML Ops
    CV

    DevOps Team as a Service

    CI/CD pipelines, infrastructure automation, monitoring, security. Ship faster, fail safely.

    CI/CD
    Terraform
    Docker
    Monitoring

    Need a specialized stack not listed? We build Pods with the expertise your product requires.

    Service Level Objectives

    Deployment Frequency
    2-5×/week
    Continuous delivery cadence
    Change Failure Rate
    <10%
    With auto-rollback capability
    Mean Time to Restore
    <1 day
    P0/P1 incident resolution

    Inside a Product Pod: Roles That Ship Product

    Every Pod is cross-functional—all the skills needed to go from backlog item to production feature. Team composition scales to your needs, but here's what a typical Pod includes:

    Pod Lead / Delivery Manager

    The quarterback. Responsible for sprint execution, blocker resolution, team health, and client communication. Runs Agile ceremonies, owns delivery metrics.

    Owns:Sprint commitments, team coordination, delivery quality
    Dedicated

    Full-Stack Developers (2-4)

    The engine. Engineers who can work across your stack—frontend, backend, and everything in between. Build features, write tests, review code, ship to production.

    Owns:Feature development, code quality, technical decisions
    Full-Time

    QA Engineer

    The quality guardian. Manual and automated testing, test strategy, bug triage, production monitoring. Features work before they ship.

    Owns:Test coverage, quality gates, release readiness
    Dedicated

    DevOps / Platform Engineer

    The enabler. CI/CD pipelines, infrastructure as code, monitoring, deployment automation. Makes shipping faster and safer.

    Owns:Deployment pipeline, infrastructure, operational stability
    Shared or Dedicated

    UX/UI Designer

    The experience architect. User research, wireframes, prototypes, design systems. Ensures what you build is what users need.

    Owns:User experience, interface design, usability
    As Needed

    Business Analyst

    The translator. Requirements clarification, acceptance criteria, stakeholder communication. Bridges business intent and technical execution.

    Owns:Requirements clarity, acceptance criteria, documentation
    As Needed

    Pod Sizes: Right-Sized for Your Needs

    Starter Pod

    4-5 people

    • Pod Lead
    • 2 Developers
    • QA Engineer
    • Shared DevOps

    Ideal for MVPs, feature modules, maintenance

    Standard Pod

    Most Popular

    6-8 people

    • Pod Lead
    • 3-4 Developers
    • QA Engineer
    • DevOps Engineer
    • UX/UI Designer

    Ideal for product builds, platform development

    Growth Pod

    8-12 people

    • Pod Lead
    • 4-6 Developers
    • 2 QA Engineers
    • DevOps Engineer
    • Designer + BA

    Ideal for complex products, multi-stream delivery

    Your Product Deserves a Real Partner

    You don't need more developers on your Slack channel. You need a team that owns delivery. That measures success by outcomes, not hours. That transfers knowledge instead of hoarding it. That succeeds when you succeed.

    Product Pods give you a complete development capability—not contractors to manage, but a partner to build with. Dedicated to your product. Accountable for results. Ready to start shipping.

    Let's talk about your product and whether a Pod is the right fit.

    No long-term lock-in
    Meet the team first
    Knowledge transfer included
    • Predictable delivery velocity without turnover disruption
    • Sprint carry-over reduced to <10%
    • Clear ownership and scope with defined escalation paths
    • Measurable sprint completion rate >90%
    • Bug density <2 per 1K LOC; production incidents tracked and closed
    • Faster time-to-production with continuous delivery cadence

    What You Get (Acceptance Criteria)

    Our standards →
    Pod charter with clear ownership, scope boundaries, and escalation paths
    Weekly sprint demos with stakeholder Q&A and feedback loops
    Bi-weekly retrospectives with actionable improvement items tracked
    Monthly roadmap health review: velocity trends, at-risk epics, dependency status
    Real-time backlog visibility: definition of ready/done, acceptance criteria templates
    Incident response SLOs: P0/P1 triage, post-mortem reports, mitigation tracking
    Transparent metrics dashboard: sprint completion, carry-over %, bug density, PR cycle time

    Timeline

    Ongoing engagement; monthly or quarterly renewal

    Team

    Pod Lead (1 FTE): sprint planning, risk mitigation, stakeholder syncFrontend Engineers (2 FTE): component library, UI/UX, accessibility, performanceBackend Engineers (2 FTE): API design, data models, integrations, securityQA Engineer (1 FTE): test automation, regression, performance, bug triageProduct Manager (0.5 FTE): feature prioritization, acceptance criteria, metrics

    Inputs We Need

    • Product roadmap and quarterly priorities with success criteria
    • Current velocity baseline and key pain points (carry-over, bug rates, lead time)
    • Definition of Ready (DoR) and Definition of Done (DoD) checklists
    • Tooling and access: issue tracker, repos, CI/CD, observability, Slack/Teams
    • Incident and bug SLOs: response time, severity thresholds, escalation policy

    Tech & Deployment

    Stack-agnostic; we adapt to your existing tooling and infrastructure. Common integrations: Jira/Linear, GitHub/GitLab, CircleCI/GitHub Actions, Datadog/Sentry, Slack/Teams. Pod uses your conventions for branching, PR reviews, deployments, monitoring.

    📊Sprint velocity chart: 12-week trend with baseline and current average
    📊Carry-over trend: % of stories rolled sprint-to-sprint
    📊Roadmap health dashboard: epic progress, at-risk items, dependency blockers
    📊Bug density and incident metrics: critical bugs per release, P0/P1 response times
    📊Sample sprint report: committed vs. completed points, feature breakdown, health scores
    📊Code quality metrics: test coverage %, PR review cycle time, DORA metrics (deployment frequency, lead time)
    📊Exit in a Box sample: knowledge transfer package TOC with runbooks, IaC, docs, and transition timeline

    Frequently Asked Questions

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