{
  "id": "state-of-ai-data-trust-2026",
  "title": "Do AI Agents Actually Work? The 2026 State of AI, Data & Trust",
  "version": 2,
  "submit_url": "https://hooks.airtable.com/workflows/v1/genericWebhook/appB7lBk49vXUHt4f/wflRySlnXPeYKRktz/wtrvTeYKi4X8VLRjM",
  "required": [
    "respondent_role",
    "company_size",
    "funding_stage",
    "industry",
    "eng_team_size",
    "pct_ai_users",
    "approved_tools",
    "data_readiness",
    "agents_in_prod",
    "agent_babysitting",
    "spend_direction_12mo"
  ],
  "sections": [
    {
      "id": "about",
      "title": "About you & your company",
      "description": "A few demographics so we can segment the results. No identifying detail required.",
      "questions": [
        {
          "id": "company_name",
          "label": "Company name",
          "type": "text",
          "placeholder": "Acme Inc. (optional)",
          "helpText": "Optional — leave blank to stay anonymous."
        },
        {
          "id": "respondent_role",
          "label": "Your role",
          "type": "single",
          "options": [
            "Founder / CEO",
            "CTO / VP Engineering",
            "Engineering Manager / Lead",
            "Individual contributor (engineer)",
            "Data / Analytics",
            "Security / IT",
            "Product",
            "Operations",
            "Other"
          ],
          "required": true
        },
        {
          "id": "company_size",
          "label": "Company size (headcount)",
          "type": "single",
          "options": [
            "1–10",
            "11–50",
            "51–200",
            "201–500",
            "501–1,000",
            "1,000+"
          ],
          "required": true
        },
        {
          "id": "funding_stage",
          "label": "Funding stage",
          "type": "single",
          "options": [
            "Bootstrapped",
            "Pre-seed",
            "Seed",
            "Series A",
            "Series B",
            "Series C",
            "Series D+",
            "Public",
            "N/A"
          ],
          "required": true
        },
        {
          "id": "industry",
          "label": "Industry",
          "type": "select",
          "options": [
            "SaaS / B2B software",
            "Fintech",
            "Healthcare",
            "E-commerce / Retail",
            "AI / ML",
            "Developer tools",
            "Media",
            "Gaming",
            "Government / Education",
            "Other"
          ],
          "required": true
        },
        {
          "id": "eng_team_size",
          "label": "Engineering team size",
          "type": "single",
          "options": [
            "1–5",
            "6–20",
            "21–50",
            "51–150",
            "150+"
          ],
          "required": true
        },
        {
          "id": "pct_ai_users",
          "label": "What share of your engineers use AI coding tools?",
          "type": "single",
          "options": [
            "0%",
            "Under 25%",
            "25–50%",
            "50–75%",
            "75–100%"
          ],
          "required": true
        }
      ]
    },
    {
      "id": "shadow",
      "title": "Shadow AI — policy vs reality",
      "description": "What's officially allowed, and what's actually happening.",
      "questions": [
        {
          "id": "approved_tools",
          "label": "Which AI tools are officially approved at your company?",
          "type": "multi",
          "options": [
            "Claude Code",
            "OpenAI Codex",
            "Cursor",
            "GitHub Copilot",
            "ChatGPT",
            "Claude (claude.ai)",
            "Gemini",
            "Windsurf",
            "Devin",
            "Internal / in-house tools",
            "None"
          ],
          "required": true,
          "helpText": "Select all that apply."
        },
        {
          "id": "shadow_tools",
          "label": "Be honest — which AI tools are people actually using that AREN'T officially approved?",
          "type": "multi",
          "options": [
            "Claude Code",
            "OpenAI Codex",
            "Cursor",
            "GitHub Copilot",
            "ChatGPT",
            "Claude (claude.ai)",
            "Gemini",
            "Personal ChatGPT / Claude accounts",
            "Other unsanctioned tools",
            "None — we're disciplined"
          ],
          "helpText": "Anonymous, and optional. The gap between this and the approved list is the real story."
        },
        {
          "id": "data_exposed",
          "label": "What company data has gone into an AI tool that arguably shouldn't have?",
          "type": "multi",
          "options": [
            "Customer PII",
            "Production data",
            "Secrets / API keys",
            "Proprietary source code",
            "Internal docs / strategy",
            "Financials",
            "None that I know of",
            "I'd rather not say"
          ],
          "helpText": "Select all that apply."
        },
        {
          "id": "ai_policy",
          "label": "Do you have an AI-use policy — and is it real?",
          "type": "single",
          "options": [
            "No policy",
            "Informal guidance",
            "Written policy, loosely followed",
            "Written policy, actually enforced"
          ]
        }
      ]
    },
    {
      "id": "access",
      "title": "How AI touches your data",
      "questions": [
        {
          "id": "data_access_method",
          "label": "How do your AI tools / agents access internal company data?",
          "type": "multi",
          "options": [
            "Copy-paste into the chat",
            "Direct database credentials",
            "Raw API keys in config",
            "MCP servers",
            "A governed data / context platform",
            "They don't touch internal data"
          ],
          "helpText": "Select all that apply. Optional."
        },
        {
          "id": "mcp_setup",
          "label": "If you use MCP (Model Context Protocol), how is it set up?",
          "type": "single",
          "options": [
            "Individuals wire their own (\"YOLO\")",
            "A curated / central list",
            "Through a governed platform with access control",
            "We don't use MCP"
          ]
        },
        {
          "id": "access_control",
          "label": "Who decides what data an AI agent is allowed to see?",
          "type": "single",
          "options": [
            "No one, really",
            "Each developer",
            "Central data / platform team",
            "Enforced by RBAC in a platform"
          ]
        },
        {
          "id": "data_exposure_incident",
          "label": "Has an AI tool ever surfaced or accessed data someone shouldn't have seen?",
          "type": "single",
          "options": [
            "Yes",
            "A near miss",
            "No",
            "We wouldn't know"
          ]
        }
      ]
    },
    {
      "id": "foundations",
      "title": "Are your data foundations AI-ready?",
      "questions": [
        {
          "id": "data_readiness",
          "label": "How AI-ready are your data foundations?",
          "type": "scale",
          "required": true,
          "scaleLabels": {
            "min": "Documented, modeled, trusted",
            "max": "Undocumented mess"
          }
        },
        {
          "id": "ai_answer_accuracy",
          "label": "When AI answers a question about your data, how often is it right?",
          "type": "single",
          "options": [
            "Almost always",
            "Usually",
            "Coin flip",
            "Often wrong",
            "We don't let it answer data questions"
          ]
        },
        {
          "id": "trust_ai_numbers",
          "label": "Would you trust an AI's number on a business question without checking it?",
          "type": "single",
          "options": [
            "Yes",
            "Only for low-stakes",
            "No"
          ]
        },
        {
          "id": "logic_documented",
          "label": "How much of your metric definitions / business logic is written down where an AI could use it?",
          "type": "single",
          "options": [
            "Most of it",
            "Some",
            "Almost none",
            "It's in people's heads"
          ]
        }
      ]
    },
    {
      "id": "agents",
      "title": "Do the agents actually work?",
      "questions": [
        {
          "id": "agents_in_prod",
          "label": "Of the AI agents / workflows you've built, how many reliably run in production?",
          "type": "single",
          "options": [
            "None / all demos",
            "1–2",
            "A handful",
            "Many",
            "It's how we operate now"
          ],
          "required": true
        },
        {
          "id": "agent_babysitting",
          "label": "How much babysitting do your agents need?",
          "type": "single",
          "options": [
            "Set-and-forget",
            "Occasional nudges",
            "Weekly fixes",
            "Constant",
            "We abandoned one because of this"
          ],
          "required": true
        },
        {
          "id": "agent_breakage",
          "label": "When your agents break, what's usually the cause?",
          "type": "multi",
          "options": [
            "Wrong data / bad joins",
            "Hallucinated facts",
            "Stale or missing context",
            "Permissions / access",
            "Integration brittleness",
            "Cost",
            "Nothing major"
          ],
          "helpText": "Select all that apply."
        },
        {
          "id": "bad_data_decision",
          "label": "Has bad data context ever led to a wrong AI-driven decision or output?",
          "type": "single",
          "options": [
            "Yes, costly",
            "Yes, minor",
            "No",
            "We wouldn't know"
          ]
        },
        {
          "id": "demo_vs_reality",
          "label": "What's the biggest gap between the AI demo and your AI reality?",
          "type": "text",
          "multiline": true,
          "placeholder": "e.g. demos are magic; in production it hallucinates joins on our warehouse and we don't trust the numbers..."
        }
      ]
    },
    {
      "id": "direction",
      "title": "Direction & the report",
      "description": "Last few. Want the finished report? Add an email and we'll send it before it goes public.",
      "questions": [
        {
          "id": "spend_direction_12mo",
          "label": "Expected AI spend over the next 12 months",
          "type": "single",
          "options": [
            "Increase a lot",
            "Increase",
            "Stay flat",
            "Decrease",
            "Unsure"
          ],
          "required": true
        },
        {
          "id": "invest_next",
          "label": "Over the next 12 months, where will you invest?",
          "type": "multi",
          "options": [
            "More tools / seats",
            "Data foundations",
            "Governance & access control",
            "Custom agents",
            "MCP infrastructure",
            "A governed data platform"
          ],
          "helpText": "Select all that apply."
        },
        {
          "id": "contact_consent",
          "label": "Want the results?",
          "type": "single",
          "options": [
            "Yes — email me the report when it's published",
            "No — use my answers anonymously"
          ],
          "default": "Yes — email me the report when it's published",
          "helpText": "Pick anonymous to skip the email entirely."
        },
        {
          "id": "contact_email",
          "label": "Work email",
          "type": "email",
          "placeholder": "you@company.com",
          "helpText": "Where we'll send the report. Required only if you want it.",
          "requiredIf": {
            "id": "contact_consent",
            "equals": "Yes — email me the report when it's published"
          }
        },
        {
          "id": "contact_name",
          "label": "Your name",
          "type": "text",
          "placeholder": "Optional"
        }
      ]
    }
  ]
}