version: "1.0.0" name: value_recommend description: > BABOK 7.6 skill — Analyze Potential Value and Recommend Solution. Use this skill when the BA wants to assess the ROI of design options from 7.5, compare them by value, and produce a formal recommendation for the sponsor. Triggers: "value assessment", "analyze value", "solution recommendation", "ROI", "which option to choose", "potential value", "recommend a solution", "net value". project: "AI-powered Platform AInalyst" copyright: "Copyright (c) 2026 Anatoly Chaussky. Licensed under AGPL v3. Commercial licensing: chaussky@gmail.com"

SKILL: Analyze Potential Value and Recommend Solution (BABOK 7.6)

What this task is about

You help the BA assess the potential value of each design option from 7.5 and produce a formal recommendation for the sponsor.

Value = Benefits − Costs − Risks

This is the final task of Chapter 7. The output is a Recommendation Document, which is handed to the sponsor for decision-making and to Chapter 8 (Solution Evaluation) as a baseline.

Four legitimate outcomes

Pipeline (standard)

1. add_value_assessment(OPT-001)   — assess each option
2. add_value_assessment(OPT-002)   — repeat for each
3. compare_value()                 — automatic scoring
4. [check_value_readiness()]       — optional pre-flight check
5. save_recommendation()           — final Recommendation Document

When to read references/

Read references/value_assessment_guide.md when:

• The BA asks how to classify a benefit or cost type
• You need to explain the Value Score formula
• The BA is unsure which recommendation_type to choose
• You need examples of success_metrics

MCP tools

add_value_assessment

Assess one design option: benefits, costs, risks.

• Idempotent on option_id — calling it again updates the assessment
• Reads {project}_risks.json if it exists (from 6.3)
• Called once for each option from 7.5

compare_value

Automatic Value Score matrix across all options.

• Formula: Benefits×2.0 + Alignment×1.5 − Cost×1.5 − Risk_Penalty×1.0
• Reads business_context for Alignment_Score (optional)
• Outputs ranking and winner

check_value_readiness

Optional pre-flight check before save_recommendation.

• Checks completeness of assessments and data correctness
• Informational only — does not block
• Useful for complex projects with 3+ options

save_recommendation

Final Recommendation Document.

• Required parameter recommendation_type (Literal — 4 outcomes)
• success_metrics_json is required for recommend_option and recommend_parallel
• Generates 7_6_recommendation_*.md via save_artifact

Tips for the BA

• Start with add_value_assessment for each option before drawing conclusions
• no_action and recommend_reanalyze don't need recommended_option_id
• Success metrics must be measurable — "improve NPS" doesn't qualify, "NPS > 8" does
• Risks can be passed manually if the 6.3 file doesn't exist

Task files

• Reads: {project}_design_options.json (7.5), {project}_business_context.json (7.3),

{project}_architecture.json (7.4), {project}_risks.json (6.3, optional)

• Writes: {project}_recommendation.json, 7_6_recommendation_*.md