What are we building?
Clarify the productization intent before scope hardens.
BRAC IT
Product Discovery FrameworkContent adapted from the original platform and SaaS discovery materials into an interactive scaled-solution playbook.
Use this lens when a real client or business unit need exists now, but the team also wants to understand what could stay reusable.
For a client-first path, pay closest attention to intent, product boundaries, platform readiness, MVP scope, and pilot learning. These activities help explain how much reuse can be protected without losing the immediate client need.
The right answer depends on evidence, ownership, repeatability, architecture, and investment appetite. SaaS is not automatically better.
Use the stages to understand how the activities connect without reading the full framework in one pass.
Clarify the productization intent before scope hardens.
Use benchmarks, customer layers, and problem evidence to test repeatability.
Separate core, configurable, extension, custom, and MVP boundaries.
Review tenant, admin, support, pricing, technical, and governance implications together.
Use pilot learning and final recommendation criteria to choose the next move.
Choose the path that best matches your situation. The activity guide will update to show which activities are Core, Useful, Later, or Advanced for that path.
Clarify the productization intent before scope hardens.
Decide whether the work should stay custom, become reusable, become an internal platform, or move toward a scalable product before scope expands.
Output: Productization intent decision and tradeoff summary.
Use benchmarks, customer layers, and problem evidence to test repeatability.
Understand existing products, alternatives, pricing, onboarding, support, configuration, and analytics patterns.
Output: Benchmark matrix and opportunity gap summary.
Identify who buys, approves, configures, uses, supports, reports on, and technically enables the product.
Output: Customer segment map with interview priorities.
Choose the right discovery session formats, participants, evidence capture, and follow-up rhythm.
Output: Discovery session plan, notes structure, decision log, and risk log.
Use prototypes to test flows, roles, dashboards, configuration, tenant behavior, or visual direction before finalizing requirements.
Output: Prototype objective, feedback notes, decisions, and next action.
Determine whether the problem is repeatable across customers or specific to one client.
Output: Problem validation summary with evidence strength.
Separate core, configurable, extension, custom, and MVP boundaries.
Separate reusable product core from configurable, extension/add-on, and custom requirements.
Output: Core, configurable, extension, and custom feature matrix.
Define the smallest useful product based on intent: current client success or repeatable SaaS validation.
Output: MVP scope and initial roadmap.
Review tenant, admin, support, pricing, technical, and governance implications together.
Clarify tenant, access, configuration, governance, data separation, and analytics models before architecture hardens.
Output: Tenant, access, configuration, governance, and analytics model.
Define how teams, units, or customers are onboarded, configured, trained, supported, escalated, reported on, and maintained over time.
Output: Onboarding, setup, support, and operations model.
Create a pricing and packaging hypothesis when external sale, future packages, modules, limits, or add-ons matter.
Output: Pricing and packaging hypothesis or future packaging note.
Assess whether architecture can support a scaled, reusable, and governable solution safely and repeatedly.
Output: Architecture readiness note with risks and product decisions needed.
Use pilot learning and final recommendation criteria to choose the next move.
Design a controlled pilot to test value, setup, adoption, support, measurement, and risk before full investment.
Output: Pilot plan with success metrics and decision criteria.
Package evidence so Product, BA, Tech, QA, Commercial, and leadership can understand the recommendation.
Output: Discovery evidence package.
Choose the next step based on repeatability, readiness, evidence, architecture, and investment confidence.
Output: Final recommendation and decision rationale.