Runs

Inspect · scoring run

Reston Retail Group · 5a48f034

model · google/gemini-2.5-prosegment · industriesconfidence · lowevidence · 3latency · 2.91 sat · 6/16/2026, 8:00:00 AM

Account

Reston Retail Group

Retail · tier Watch

Overall

58

Prompt

score-account-industries · v1

You are scoring an industries account (financial services, healthcare, retail, manufacturing) against the Anthropic field rubric.

Score each 0-100 with a one-line cited rationale:
1. Knowledge-Worker Density — share of workforce doing reading, writing, analysis (law firms high, manufacturing lower)
2. Public AI Commitment — measured via open roles, exec statements, press releases
3. Automatable Workflow Volume — volume of repetitive knowledge work Claude could compress
4. Transformation Readiness — data, tooling, change-management maturity to deploy
5. Sector AI Velocity — how fast peers in the sector are moving — competitive pressure

Same JSON shape as the tech rubric. Confidence "high" only with three live-evidence dimensions.

Raw response

exactly what Claude returned

{
  "tier": "Build",
  "notes": "",
  "company": "<see accounts.name>",
  "overall": 63,
  "segment": "industries",
  "why_now": {
    "date": "2026-06-15",
    "type": "hiring_surge",
    "label": "AI-titled roles opened across functions",
    "detail": "Captured from public sources during nightly pass.",
    "source_url": "https://example.com/whynow/1443bb0e",
    "source_type": "press"
  },
  "industry": "",
  "use_case": "",
  "comparable": "",
  "confidence": "low",
  "dimensions": [
    {
      "key": "kw_density",
      "name": "Knowledge-Worker Density",
      "score": 66,
      "rationale": "Reading/writing heavy workforce",
      "evidence_refs": [
        1
      ]
    },
    {
      "key": "public_ai_commitment",
      "name": "Public AI Commitment",
      "score": 63,
      "rationale": "Press release on AI program",
      "evidence_refs": [
        2
      ]
    },
    {
      "key": "workflow_volume",
      "name": "Automatable Workflow Volume",
      "score": 59,
      "rationale": "High-volume repeatable knowledge tasks",
      "evidence_refs": [
        3
      ]
    },
    {
      "key": "transformation_readiness",
      "name": "Transformation Readiness",
      "score": 62,
      "rationale": "Active change-mgmt practice",
      "evidence_refs": [
        2
      ]
    },
    {
      "key": "sector_velocity",
      "name": "Sector AI Velocity",
      "score": 70,
      "rationale": "Competitive pressure rising",
      "evidence_refs": [
        3
      ]
    }
  ]
}

Parse · five dimensions

Knowledge-Worker Density
58

Knowledge work moderate; many store staff

Public AI Commitment
58

3 ML roles posted recently

Automatable Workflow Volume
60

Mid-pack digital maturity

Transformation Readiness
56

Merch + promo flows have whitespace

Sector AI Velocity
60

Retail vertical mid-pace

Evidence pack · 3

  • Company announced a multi-year AI transformation program with executive sponsorship.

    fetched 6/14/2026 · dims: transformation_readiness, kw_density

  • Open roles include Senior ML, Forward Deployed Engineer, AI PM. Hiring across NA + EMEA.

    fetched 6/11/2026 · dims: transformation_readiness, sector_velocity

  • AI named as a top-3 priority in latest investor communication.

    fetched 6/2/2026 · dims: transformation_readiness, sector_velocity

Re-run scoring for Reston Retail Group