---
title: "Product Assessment"
description: "Scan the product's technical requirements and business context to generate a tailored architecture guide."
canonical: "https://architecture.reopt.ai/assessment"
language: "en"
last-updated: "2026-10-20"
alternate-markdown: "https://architecture.reopt.ai/ko/assessment.md"
site-index: "https://architecture.reopt.ai/llms.txt"
source: "reopt architecture"
---

# Product Assessment

> Scan the product's technical requirements and business context to generate a tailored architecture guide.

Inspect the product's current state independently from the engineering perspective and the business perspective. Quality-attribute taxonomy follows ISO 25010; tension detection between attributes borrows from ATAM's trade-off analysis.

## Engineering Perspective

| Attribute | Low | High |
| --- | --- | --- |
| Security | Internal-tool grade | Financial/medical-grade security required |
| Reliability | Intermittent errors tolerated | Failure halts the business |
| Compliance | Internal policy only | External audit / legal obligation |
| Testing | Manual testing | Automated evaluation pipeline required |
| Latency | Async / batch acceptable | Real-time response required |
| Data | Minimal data, simple execution | Large-scale data analysis / learning is core |
| Scale | Small-scale operation | Large-scale concurrent processing |
| Cost | Loose cost constraints | Operating cost / ROI sensitive |
| Autonomy | AI as assistant, humans decide everything | AI decides autonomously; humans handle exceptions |

## Business Perspective

| Attribute | Low | High |
| --- | --- | --- |
| Revenue | Indirect efficiency gain | Product quality directly drives revenue |
| CX | Internal users only | End customers use it directly |
| TTM | Ample development time | Fast market entry is critical |
| Domain | Simple repetitive work | Specialized knowledge / complex business rules |
| Stakeholders | Single team | Multi-team, multi-role collaboration |
| Decision | Simple classification / filtering | Strategic judgment / financial / customer-facing commitments |
| Maturity | Blue ocean / early | Red ocean / validated market |
| Size | Niche / small | Large-scale / mass market |

## Preset

- Financial Services
- Customer-Facing Service
- Internal Automation

## Output

- Profile by perspective
- Pattern priority
- Tensions
- Engineering ↔ Business tensions
- Recommended maturity stage
- Tailored checklist
- Architecture Brief

Summary is for GOVERNANCE.md. Keep the full report at docs/assessment-YYYY-MM-DD.md.

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_Markdown representation of https://architecture.reopt.ai/assessment. Full index: https://architecture.reopt.ai/llms.txt HTML original: https://architecture.reopt.ai/assessment · 한국어: https://architecture.reopt.ai/ko/assessment.md_