RiskAssessor

Category: Specialized | Module: mycontext.templates.free.specialized

Comprehensive risk assessment using enterprise risk management frameworks. Identifies risks across five categories, scores them by probability × impact, maps interdependencies, develops mitigation strategies, and produces a go/no-go recommendation.

When to Use

Before a major business decision or investment
Project kickoff risk identification
Product launch preparation
Vendor or partnership evaluation
Strategic initiative planning
Technical architecture review

Quick Start

from mycontext.templates.free.specialized import RiskAssessor

assessor = RiskAssessor()

ctx = assessor.build_context(
    decision="Launching a new enterprise product line targeting Fortune 500 companies",
    depth="comprehensive",
)
result = ctx.execute(provider="openai")
print(result.response)

Methods

`build_context(decision, context="", depth="detailed")`

Parameters:

Parameter	Type	Default	Description
`decision`	`str`	required	The decision, project, or situation to assess
`context`	`str`	`""`	Additional context about the situation
`depth`	`str`	`"detailed"`	Assessment depth

`execute(provider, decision, context="", depth="detailed", **kwargs)`

result = assessor.execute(
    provider="openai",
    decision="Migrating production database from PostgreSQL to MongoDB",
    context="5TB database, 200 microservices dependent, zero downtime required",
    depth="comprehensive",
)

Risk Categories

The pattern systematically identifies risks across five domains:

Category	Examples
Strategic	Market changes, competitive threats, reputation damage
Operational	Process failures, resource constraints, technical issues
Financial	Cost overruns, revenue shortfalls, budget constraints
Compliance/Legal	Regulatory changes, legal liabilities, compliance failures
External	Economic factors, political/social changes, natural events

Risk Scoring

Each risk is scored using the standard risk matrix:

Risk Score = Probability (1-5) × Impact (1-5)

Critical:    15-25 (Immediate action required)
Significant:  8-14 (Should address before proceeding)
Minor:         1-7  (Monitor and document)

Assessment Framework

9-section structured assessment:

Situation Overview — Context, objectives, stakeholders, success criteria
Risk Identification — All risks across 5 categories
Risk Analysis — Per-risk: description, probability, impact, score, triggers, timeframe
Risk Prioritization — Risk matrix with critical/significant/minor tiers
Risk Interdependencies — Cascading effects and compounding risks
Mitigation Strategies — Avoid / Reduce / Transfer / Accept / Contingency for each major risk
Risk-Benefit Analysis — Expected value, risk tolerance, alternative profiles
Monitoring Plan — Key Risk Indicators (KRIs), review frequency, escalation procedures
Risk Summary — Top 3–5 risks, overall level, go/no-go recommendation

Depth Levels

Depth	Use case	Coverage
`"basic"`	Quick screen before small decisions	5-section lightweight
`"detailed"`	Standard project assessment	Full 9-section analysis
`"comprehensive"`	Major decisions, board-level	Deep interdependency mapping + scenario analysis

Examples

Technology Decision

result = assessor.execute(
    provider="openai",
    decision="Replacing our monolith with microservices architecture",
    context="Legacy PHP app, 15-year-old codebase, 3M users, 12 engineers",
    depth="comprehensive",
)

Business Expansion

result = assessor.execute(
    provider="anthropic",
    decision="Opening an engineering office in a new country",
    context="UK team of 50, considering Poland or India, budget $2M/year",
    depth="detailed",
)

Product Launch Risk

result = assessor.execute(
    provider="gemini",
    decision="Launching AI-powered feature requiring user data processing",
    context="GDPR/CCPA compliance required, EU and US users, launch in 8 weeks",
    depth="comprehensive",
)

Mitigation Strategies

For each high-risk item, the pattern evaluates four strategies:

Strategy	Description	When to use
Avoid	Eliminate the risk entirely (change approach)	When risk score is Critical and mitigation is costly
Reduce	Lower probability or impact	Most common — add safeguards
Transfer	Insurance, contracts, SLAs, partnerships	When risk is financial or legal
Accept	Document and proceed	When risk is Low or cost of mitigation exceeds benefit
Contingency	Backup plan if risk materializes	For risks that can't be avoided but are manageable

Output: Go/No-Go Recommendation

Every assessment concludes with a clear recommendation:

## RISK SUMMARY

**Overall Risk Level**: High

**Top 3 Risks**:
1. Data migration failure (Score: 20/25) — Zero-downtime constraint conflicts with scope
2. Team capability gap (Score: 15/25) — No MongoDB expertise in team
3. Downstream service disruption (Score: 15/25) — 200 dependent microservices

**Recommendation**: CONDITIONAL GO
- Proceed only after: (1) Proof-of-concept with non-critical data, (2) MongoDB training
  completed, (3) Parallel-run period with rollback capability defined

API Reference

Method	Returns	Description
`build_context(decision, context, depth)`	`Context`	Assembled context
`execute(provider, decision, context, depth, **kwargs)`	`ProviderResponse`	Execute assessment
`generic_prompt(decision, context_section, depth)`	`str`	Zero-cost prompt string

When to Use​

Quick Start​

Methods​

build_context(decision, context="", depth="detailed")​

execute(provider, decision, context="", depth="detailed", **kwargs)​

Risk Categories​

Risk Scoring​

Assessment Framework​

Depth Levels​

Examples​

Technology Decision​

Business Expansion​

Product Launch Risk​

Mitigation Strategies​

Output: Go/No-Go Recommendation​

API Reference​