Solution Discovery & Scoping

The Problem

Sometimes the problem is clear, but the right solution isn’t:

• Unclear requirements: Stakeholders have goals, but not a shared definition of success
• Hidden constraints: Legacy systems, data quality, or team capacity change what’s feasible
• Too many options: Multiple approaches look viable, but the trade-offs aren’t clear
• Scope creep risk: Without boundaries, projects balloon and timelines slip
• Decision paralysis: Teams delay action because the next step isn’t confident

When a solution isn’t obvious, the fastest path forward is a focused discovery process.

How I Solve It

I run structured discovery to turn ambiguity into a clear, buildable plan:

Problem Framing

• Align stakeholders on goals, success metrics, and non-goals
• Map the current workflow and pinpoint friction and failure points
• Identify real constraints (tech stack, timelines, budget, compliance)

Solution Options

• Evaluate multiple approaches with costs, risks, and trade-offs
• Recommend the smallest viable solution that still solves the problem
• Flag what should be automated, integrated, or rebuilt

Scope and Roadmap

• Define a phased plan with deliverables and milestones
• Highlight dependencies and integration requirements
• Deliver a clear scope that engineering can execute

Common Scenarios

• You want automation, but don’t know where to start
• You suspect multiple systems are out of sync, but can’t confirm root causes
• You’re replacing a platform and need to avoid a risky rebuild
• You need a roadmap before committing engineering or budget

The Outcome

You leave with a clear, actionable plan: defined scope, validated priorities, and a solution path that fits your real constraints. If a custom build isn’t required, you’ll know that too before investing in the wrong thing.