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Interpreting Assessment Results

This guide explains how to read and understand the risk scores, indicators, and recommendations generated by the CGIAR Risk Intelligence Tool.

Overview

After AI analysis completes, your assessment includes:
  • Overall Risk Score: Aggregate score across all categories (0-100)
  • Risk Level: Traffic-light classification (Low, Moderate, High, Critical)
  • Category Scores: Individual scores for 7 risk dimensions
  • Subcategory Analysis: Detailed 5-indicator breakdown per category
  • Evidence Narratives: AI-generated explanations with source citations
  • Actionable Recommendations: Prioritized mitigation strategies
  • Executive Summary: High-level overview for stakeholders

Accessing Your Results

Understanding the Overall Risk Score

Score Components

The overall risk score is displayed prominently at the top of the scorecard: Score: Numeric value from 0-100
  • Lower scores = Higher risk (0 = maximum risk)
  • Higher scores = Lower risk (100 = minimal risk)
  • Aggregated from 7 category scores
  • Weighted by category importance
Inverted Scale: The platform uses an inverted scale where 0 represents critical risk and 100 represents minimal risk. This aligns with credit scoring conventions.

Risk Levels (Traffic Lights)

Scores map to four risk levels: Visual Indicators:
  • Color-coded badges: Background and text color match risk level
  • Progress bar: Filled portion shows score with matching color
  • Border styling: Cards have colored borders matching severity

Score Interpretation Guide

Interpretation:
  • Business shows strong risk management
  • Most risk factors well-controlled
  • Documentation complete and thorough
  • Financial position stable
Typical Actions:
  • Monitor ongoing performance
  • Maintain current controls
  • Focus on growth opportunities
  • Standard reporting frequency
Example Scenario: An established dairy cooperative with 10 years of operations, diversified revenue streams, strong governance, comprehensive insurance, and detailed financial records scores 82/100.
Interpretation:
  • Generally acceptable risk profile
  • Some areas need improvement
  • Controls present but could be stronger
  • Minor gaps in documentation
Typical Actions:
  • Address identified gaps
  • Strengthen weaker areas
  • Enhance monitoring in flagged categories
  • Quarterly risk reviews
Example Scenario: A 3-year-old organic farm with growing sales but limited financial history, basic governance structures, and moderate climate adaptation measures scores 67/100.
Interpretation:
  • Significant risk exposure identified
  • Multiple categories require attention
  • Controls insufficient or missing
  • Financial or operational vulnerabilities
Typical Actions:
  • Develop mitigation plan immediately
  • Prioritize high-impact recommendations
  • Increase monitoring frequency
  • Consider additional support or training
Example Scenario: A startup agricultural enterprise with limited track record, high debt, single-crop dependency, and minimal climate resilience scores 38/100.
Interpretation:
  • Severe risk exposure across multiple areas
  • Business viability concerns
  • Major gaps in controls and documentation
  • Immediate intervention required
Typical Actions:
  • Halt funding until risks addressed
  • Require comprehensive restructuring plan
  • Weekly monitoring and reporting
  • On-site assessment recommended
Example Scenario: A business with negative cash flow, no formal governance, single buyer dependency, highly volatile input prices, and no climate adaptation strategy scores 18/100.

Category-Level Risk Scores

The 7 Risk Categories

Each assessment evaluates seven risk dimensions:

1. Behavioral Risk

What it measures:
  • Management capabilities and experience
  • Decision-making processes
  • Organizational culture
  • Stakeholder relationships
  • Commitment to sustainability
Indicators (5 subcategories):
  • Leadership quality
  • Team experience
  • Stakeholder engagement
  • Ethical practices
  • Learning capacity

2. Operational Risk

What it measures:
  • Production processes and efficiency
  • Supply chain management
  • Quality control systems
  • Infrastructure adequacy
  • Operational resilience
Indicators:
  • Process reliability
  • Supply chain stability
  • Quality assurance
  • Infrastructure condition
  • Capacity utilization

3. Financial Risk

What it measures:
  • Revenue stability and growth
  • Profitability and margins
  • Cash flow management
  • Debt levels and servicing
  • Financial planning maturity
Indicators:
  • Revenue diversification
  • Profitability trends
  • Liquidity position
  • Leverage ratios
  • Financial controls
Critical Category: Financial risk often has the highest weight in overall scoring. Strong financial performance can offset moderate risks in other areas.

4. Market Risk

What it measures:
  • Market positioning and competition
  • Customer concentration
  • Price volatility exposure
  • Market access barriers
  • Demand stability
Indicators:
  • Competitive advantage
  • Customer diversification
  • Pricing power
  • Market accessibility
  • Demand predictability

5. Climate & Environmental Risk

What it measures:
  • Climate change vulnerability
  • Environmental compliance
  • Resource sustainability
  • Adaptation measures
  • Environmental impact
Indicators:
  • Climate exposure
  • Adaptation capacity
  • Environmental compliance
  • Resource efficiency
  • Sustainability practices
What it measures:
  • Organizational structure and governance
  • Legal compliance
  • Regulatory adherence
  • Contract management
  • Dispute resolution
Indicators:
  • Governance structure
  • Regulatory compliance
  • Legal standing
  • Contract coverage
  • Risk oversight

7. Technology & Data Risk

What it measures:
  • Technology adoption and integration
  • Data management practices
  • Cybersecurity measures
  • Digital literacy
  • Innovation capacity
Indicators:
  • Technology infrastructure
  • Data quality and security
  • Digital skills
  • System reliability
  • Innovation adoption

Viewing Category Details

Click “View Details” on any category card to see:
  1. Category Score: Overall score for this dimension
  2. 5 Subcategory Scores: Individual indicator ratings
  3. Evidence Narrative: AI explanation with citations
  4. Risk Factors: Specific concerns identified
  5. Recommendations: Targeted mitigation actions

Subcategory Scores and Indicators

Each category contains 5 subcategory indicators scored individually:

Indicator Components

Name: Specific risk factor (e.g., “Revenue Diversification”) Score: 0-100 value for this indicator Level: Traffic-light classification (Low/Moderate/High/Critical) Evidence: Text explaining the score with document citations Mitigation: Suggested actions to improve this indicator

Example: Financial Risk Subcategories

Evidence and Narratives

The AI generates evidence narratives explaining each score:

Evidence Structure

Components:
  1. Summary statement: Brief overall assessment
  2. Key findings: Bulleted list of main observations
  3. Document citations: References to source material (page numbers)
  4. Data points: Specific metrics or facts extracted
  5. Risk implications: How findings affect the score

Example Evidence Narrative

Interpreting Citations

Document references appear as:
  • (p. 12-14) - Pages 12 through 14 of uploaded PDF
  • (Business Plan, Section 3) - Specific section reference
  • (Financial Statements 2025, Income Statement) - Document and table
Click citations to jump to the source document (if enabled).
AI Limitations: Evidence is extracted automatically. Always verify critical findings against source documents, especially for high-stakes decisions.

Recommendations

Each category and subcategory includes actionable recommendations:

Recommendation Structure

Priority: HIGH, MEDIUM, or LOW Text: Specific action to take Impact: Expected effect on risk score Timeframe: Suggested implementation timeline

Priority Levels

Example Recommendations

Sample HIGH priority recommendation:

Editing Recommendations

Administrators can edit recommendations:
  1. Click “Edit” next to any recommendation
  2. Modify the text to add context or local specifics
  3. Save changes
  4. Edited recommendations show a “(Edited)” tag
  5. Original AI text is preserved in history

Radar Chart Visualization

The radar chart provides a visual overview of category scores:

Reading the Radar Chart

Axes: Each of the 7 corners represents a risk category Scale: 0 (center) to 100 (outer edge) Filled area: Shows actual scores across categories Shape interpretation:
  • Balanced shape: Consistent performance across categories
  • Irregular shape: Strengths and weaknesses in different areas
  • Small shape: High overall risk (low scores)
  • Large shape: Low overall risk (high scores)

Spotting Patterns

Indented corners: Categories with lower scores (higher risk)
  • Focus improvement efforts here
  • May drag down overall score
  • Review subcategory details for root causes
Extended corners: Categories with higher scores (lower risk)
  • Strengths to leverage
  • May indicate mature controls
  • Potential to share best practices

Executive Summary

The Executive Summary section provides a high-level overview suitable for stakeholders:

Summary Components

Overall Assessment: 2-3 sentence business characterization Key Strengths: 3-5 bullet points highlighting low-risk areas Primary Concerns: 3-5 bullet points on high-risk areas Critical Actions: Top 3 recommendations (HIGH priority only) Risk Outlook: Forward-looking statement on risk trajectory

Example Executive Summary

Comparing Assessments

Track risk evolution over time:

Accessing Historical Assessments

  1. View all assessments for a company on the dashboard
  2. Filter by company name to see timeline
  3. Compare scores quarter-over-quarter or year-over-year

Key Comparison Metrics

Score trends:
  • Is overall risk increasing or decreasing?
  • Which categories show improvement?
  • Which categories are deteriorating?
Recommendation completion:
  • Were previous HIGH priority actions taken?
  • Did scores improve as expected?
  • What new risks emerged?
Version comparison:
  • How has the business evolved?
  • Are controls strengthening?
  • Is documentation improving?
Trend Analysis: The platform doesn’t currently include automated trend charts, but you can manually track scores in a spreadsheet for longitudinal analysis.

Taking Action on Results

Best Practices

  • Compare against sector benchmarks when available
  • Consider business stage (startup vs. established)
  • Account for external factors (market conditions, climate events)
  • Review trends over time, not just absolute scores
  • Balance quantitative scores with qualitative judgment
  • Always verify critical findings in source documents
  • Look for patterns across multiple evidence points
  • Consider data freshness (recent vs. outdated information)
  • Flag evidence gaps for follow-up with business
  • Use citations in discussions to maintain credibility
  • Focus on HIGH priority items first
  • Group related recommendations for efficiency
  • Involve business owners in implementation planning
  • Set realistic timelines based on capacity
  • Track completion and measure impact
  • Reassess after major changes

Next Steps