# Value Story Template — DEFINE Phase
# Captures the value hypothesis linking business drivers to OCI outcomes

value_story:
  # --- Customer Context ---
  customer_name: ""
  industry: ""
  engagement_date: ""
  architect: ""

  # --- Business Driver ---
  # What is pushing the customer to act NOW?
  business_driver:
    primary: ""  # cost_reduction, modernization, performance, compliance, hardware_eol, contract_expiry, consolidation, competitive_pressure
    urgency: ""  # Why now? e.g., "Hardware EOL in 6 months", "PCI audit in Q3"
    quantified_impact: ""  # e.g., "$2M/year in legacy maintenance", "4h monthly downtime"

  # --- Current Pain ---
  # What specific problem does the customer experience?
  current_pain:
    summary: ""  # 1-2 sentences describing the problem in customer's terms
    affected_stakeholders: []  # e.g., [CTO, DBA team, end users, compliance officer]
    business_cost: ""  # Quantified cost of inaction: dollars, hours, risk

  # --- Value Hypothesis ---
  # "If we [action], the customer achieves [outcome]"
  hypothesis:
    action: ""  # e.g., "Migrate 3 Oracle databases from on-prem Exadata to ADB-S"
    outcome: ""  # e.g., "60% reduction in DB admin effort, 99.995% availability, PCI compliance"
    evidence: ""  # What supports this? e.g., "ADB-S automates patching, backups, tuning"

  # --- SMART Validation ---
  smart:
    specific: ""  # What exactly will be done?
    measurable: ""  # How will success be measured?
    attainable: ""  # Is this technically feasible? (reference feature matrix, field findings)
    relevant: ""  # How does this connect to the business driver?
    time_based: ""  # When will this be delivered?

  # --- Competitive Context ---
  competitive:
    incumbent: ""  # aws, azure, gcp, on_prem, none
    why_oci: []  # e.g., ["BYOL cost advantage", "ADB-S unique capabilities", "FastConnect latency"]
    honest_gaps: []  # e.g., ["Smaller marketplace", "Fewer regions in LATAM"]

  # --- Confidence Assessment ---
  confidence:
    data_quality: ""  # high (AWR/metrics available), medium (estimates), low (guesses)
    assumptions: []  # List key assumptions made
    gaps_to_fill: []  # What information is still missing?

  # --- Next Step ---
  recommendation: ""  # proceed_to_design, iterate_hypothesis, insufficient_data
  next_action: ""  # e.g., "Schedule design workshop", "Request AWR reports"