Product / execution
Product strategy connects customer needs, business goals, data signals, requirements, and delivery tradeoffs into clearer execution.
What this system does
Translates ambiguous business needs into product requirements, priorities, and measurable outcomes.
Connects product questions to metrics, dashboards, user stories, roadmap choices, and operating reviews.
Balances product direction with implementation reality, stakeholder alignment, and business impact.
How I use it
Chorus is framed as a prototype product with learning goals, content model, platform comparison, saved skills, and launch assets.
Ghost-AI is framed as a product system with authentication, collaboration, AI generation, canvas editing, and spec output.
BudgetDB turns operations questions into a productized reporting layer rather than one-off analysis.
Related projects
Evidence or examples
Chorus launch plan marks iPhone design done and app/web/deck/video work in progress.
Ghost-AI project overview defines user flow from sign-in to project creation, AI generation, collaboration, spec persistence, and download.
BudgetDB project resources include SQL, workbooks, GitHub, and reporting evidence.
Who is the user? What decision are they trying to make? What data or workflow proves the product is useful?User story -> acceptance criteria -> data requirement -> edge case -> QA/UAT check -> release note.Chorus shows product concept and content model; Ghost-AI shows workflow product architecture; BudgetDB shows operational decision productization.