AI-Augmented Discovery Workshops
From AI Prompts to Decisions That Ship
We pair dedicated AI agents with senior consultants to structure the right questions, interpret the answers, and turn them into a clear specification, defensible estimates, and a 90-day delivery roadmap — in 5–10 days.
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Who Benefits from Discovery Workshops?
You already have ChatGPT/Claude. The difference is knowing what to ask, how to interpret outputs, and how to turn them into accountable decisions. Our workshops combine custom AI agents with real-world delivery practice to convert AI exploration into an executable plan.
Product Owners & PMs
Problem: AI-generated backlogs tend to bloat and lack decision criteria. Get: a prioritized MVP backlog (MoSCoW/Kano), clear success metrics, scope-cut options, and acceptance criteria ready for development — guided by our Backlog Prioritizer and Discovery Copilot.
CTOs & Tech Leads
Problem: AI suggests ideas but won't own architecture or technical debt. Get: ADR-backed architectural decisions, recommended stack, integration map, and a risk register with mitigation paths — accelerated by our Tech Architect Copilot and Risk Radar.
Founders & Business Owners
Problem: Quick AI 'estimates' rarely survive reality. Get: transparent assumptions, scenario-based estimates, ROI-oriented trade-offs, and a 90-day roadmap to reach first value — supported by our Estimate Buddy and Delivery Planner.
Project & Delivery Managers
Problem: AI won't orchestrate dependencies or resources. Get: WBS, dependency mapping, risk & decision logs, and day-one delivery criteria that align teams — produced with our Delivery Planner and Risk Radar.
How Our AI-Augmented Workshops Work
In 5–10 days we turn AI exploration into accountable decisions and delivery-ready artifacts.Structured Discovery Sessions
Co-create a shared understanding of goals, constraints, and risks. • Discovery Copilot structures prompts and interviews • Risk Radar maps assumptions and integration risks • Output: problem statement, stakeholder map, initial risk heatmap
Readiness Check & AI Plan
We validate data sources, tooling, and decision criteria. • Backlog Prioritizer proposes MVP scope (MoSCoW/Kano) • Tech Architect Copilot drafts first ADRs • Output: discovery checklist passed, decision matrix, initial MVP hypothesis
Feasibility Pilot (Optional)
Build a lightweight proof or simulate critical flows in a safe environment. • Estimate Buddy tests ranges and assumptions • Tech Architect Copilot verifies integrations • Output: feasibility note, updated ADRs, refined estimates with risks
Team Enablement & Decision Log
Align PO/PM, Tech, and Business on trade-offs. • Document rationale, acceptance criteria, and scope-cut paths • Output: decision log, acceptance criteria, WBS/dependency map ready for delivery
Roadmap & Handover
Translate outcomes into a 90-day delivery roadmap with clear owners and checkpoints. • Output: prioritized MVP backlog (import-ready) • 90-day roadmap with clear milestones • Finalized ADRs and integration plan
Continuous Optimization & Reporting
Track real usage and adjust scope with data. • Monitor Time-to-Spec, estimate variance, and risk coverage • Track Sales Velocity impact • Output: KPI report, backlog refinements, next iteration plan
What You Get — Tangible Deliverables
Delivery-ready artifacts produced with AI assistance and senior review—so your team can start building on Day 1.
Verified Product Brief & Stakeholder Map
A concise, validated product brief with goals, constraints, target segments, and a stakeholder map—plus acceptance criteria and non-functional requirements captured for kickoff.
Prioritized MVP Backlog (Import-Ready)
MoSCoW/Kano-scored backlog aligned to KPIs, exported to CSV / Jira / Notion with ready-to-use user stories, acceptance criteria, and scope-cut options.
Technical Specification + ADRs
Architecture overview, integration map, and Architecture Decision Records with rationale, trade-offs, and constraints—documented for smooth handover.
Estimates with Assumptions & Risks
Scenario-based cost & schedule ranges with explicit assumptions, risk register, and mitigation paths—so you can choose the fastest, safest route to value.
90-Day Roadmap with Success Metrics
Milestones, owners, and checkpoints tied to business KPIs (e.g., Sales Velocity, Time-to-Spec, estimate variance) and a clear definition of done for each phase.
AI Agents We Bring to the Table
Pre-configured, domain-tuned assistants that accelerate discovery and convert insights into delivery-ready decisions
Structures requirements and decision questions, synthesizes interviews, and aligns goals and constraints. Output: requirements map, stakeholder matrix, acceptance criteria draft, and interview guide.
Surfaces technical, integration, compliance, and delivery risks early and assigns owners with triggers. Output: risk register and heatmap with mitigation actions and decision checkpoints.
Scores features by impact, effort, and KPI alignment using MoSCoW/Kano and dependency cues. Output: prioritized MVP backlog (import-ready to CSV/Jira/Notion) with scope-cut paths.
Generates scenario-based cost & schedule ranges with explicit assumptions and constraints. Output: estimation pack (ranges, assumptions, risks) and trade-off scenarios you can act on.
Recommends stack and integration approach, drafts architecture views and ADRs with rationale. Output: architecture overview, integration map, and ADR set with pros/cons and decision log entries.
Turn AI Prompts into Delivery-Ready Decisions
Get a clear specification, defensible estimates, and a 90-day delivery roadmap in 5–10 days. Request your detailed cost breakdown and see how our AI-Augmented Discovery Workshops convert exploration into execution.
Matt Sadowski
CEO of Mobile Reality
Master Product Development Workshop Fundamentals
Dive deeper into the core principles and best practices behind successful product development workshops. Learn how to structure discovery sessions, facilitate stakeholder alignment, and turn insights into actionable roadmaps—straight from our hands-on experience.
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AI-enhanced Discovery Workshops FAQ
You receive a delivery-ready package: a verified Product Brief & Stakeholder Map, a prioritized MVP backlog (import-ready to CSV/Jira/Notion), a Technical Spec with ADRs and integration map, a scenario-based Estimates Pack (with assumptions and risks), and a 90-day roadmap that turns decisions into execution. These align with recognized discovery outcomes (shared vision, roadmap, and clear next steps).
Our AI-augmented discovery typically runs 5–10 days. Before Day 1, we ask for existing materials (goals, constraints, user insights, any tech docs) so sessions focus on decisions, not gathering basics; this matches industry guidance to prepare inputs and leave with a concrete plan/roadmap.
Discovery clarifies the problem, scope, risks, and sequencing across a broader area; a Design Sprint is a time-boxed method (often 4–5 days) to prototype and test a specific solution after discovery narrows the target—many teams do discovery first, then sprint on the highest-value slice.
We combine established prioritization models (e.g., MoSCoW/Kano, sometimes with RICE) to score impact vs. effort and align with KPIs; then we produce scenario-based cost/schedule ranges with explicit assumptions and trade-offs so decisions are transparent and revisitable. This blended approach is consistent with guidance to mix methods based on context.
All key choices are captured as Architecture Decision Records (ADRs) with context, options, and consequences, forming a searchable decision log—an industry-standard practice recommended by Microsoft/AWS and widely adopted in software architecture. Our domain-tuned AI agents help draft options and surface risks, while human experts review and sign off; your data stays under your control (no model retraining on your content).