Product
Recommendations UI & History
A recommendation experience for cloud optimization workflows, including lists, details, history timelines, charts, savings summaries, and execution state visibility.
Summary
- BuiltBuilt filterable recommendation lists and detailed recommendation views.
- ProblemUsers needed to understand optimization opportunities, inspect recommendation history, and track cost-saving actions with enough context to trust the recommendations.
- ImpactGave cloud cost users clear visibility into which optimizations mattered, their impact, and whether they were actually executed.
Problem
Users needed to understand optimization opportunities, inspect recommendation history, and track cost-saving actions with enough context to trust the recommendations.
Users needed to understand optimization opportunities, inspect recommendation history, and track cost-saving actions with enough context to trust the recommendations.
What I Built
3 key contributions that defined the build
- Built filterable recommendation lists and detailed recommendation views.
- Implemented history timelines with charts and savings summaries.
- Integrated backend endpoints for calculations, filters, statuses, and executed states.
Key Decisions
Tradeoffs and approaches that shaped the final outcome
Challenge
Presenting technical optimization data in a way product and finance users could scan.
Approach
Structured views around recommendation state, vendor context, and cost impact.
Challenge
Keeping recommendation state, history, and savings context connected.
Approach
Used charts and summaries to make savings history easier to evaluate.
Impact
Gave cloud cost users clear visibility into which optimizations mattered, their impact, and whether they were actually executed.
- Gave cloud cost users clear visibility into which optimizations mattered, their impact, and whether they were actually executed.
- Improved visibility into implemented recommendations and their impact.