Recommendation Card

Categorized career recommendation card from ResultsView's locked section (Bunch D, Phase 2). Three fixed categories — strength, growth area, next step — each with its own icon and badge color, capped at 3 cards per grade.

All three categories

Strength (green, Sparkles), growth area (amber, Target), next step (accent/violet, Compass) — semantic colors from DESIGN.md, never a new palette. Density pass: cards flow in a self-adjusting 2-column grid instead of stacking full-width. Rendered at 624px, the width the grid actually gets on /results (max-w-2xl minus px-6) — so the card widths here are the card widths in the product.

Strength

Metrics reasoning was strong

Your metrics answer showed real rigor — measurable, tied to the actual pain point, with a clear "what would disprove this" instinct.

Growth area

Ground trade-offs in numbers

Your build-vs-partner reasoning was solid strategically but stayed qualitative. Even a rough cost or timeline estimate would show feasibility thinking.

Next step

Make research decision-driven

Next time you propose research, name upfront what decision the findings would change — it shows the research is purposeful, not a checkbox.

PropTypeDefaultDescription
recommendationRecommendationCategory + title + body — one categorized career recommendation from the grading response.
categoryLabelstringLocalized badge label for the category — from resultsCopy.recommendationCategoryLabel[category].
moreLabelstring'Show more'Localized "Show more" toggle — only rendered when the body actually overflows 2 lines.
lessLabelstring'Show less'Localized "Show less" toggle, shown once expanded.

Clamped body (density pass)

In a narrow grid cell, the body clamps to 2 lines and reveals a "Show more" toggle only when the text actually overflows — a short recommendation never grows a redundant toggle.

Growth area

Ground trade-offs in numbers

Your build-vs-partner reasoning was solid strategically but stayed qualitative. Even a rough cost or timeline estimate would show feasibility thinking. Your build-vs-partner reasoning was solid strategically but stayed qualitative. Even a rough cost or timeline estimate would show feasibility thinking.

Sergiy Klimkovych

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