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The system maps response patterns to question dependencies using LLM-based logic inference, creating skip rules and dynamic question sets without manual rule configuration. This enables survey logic that would normally require manual conditional branching setup in traditional form builders.","intents":["I want survey questions to automatically adapt based on what users answer without manually setting up skip logic","I need to segment respondents into different question paths based on their product usage level","I want to create a branching research flow that feels conversational rather than rigid"],"best_for":["user research teams conducting segmented feedback collection","product teams needing dynamic NPS or CSAT flows","researchers building multi-path questionnaires without conditional logic expertise"],"limitations":["Complex multi-level branching (3+ levels deep) may produce illogical question sequences — LLM struggles with deep dependency chains","No visual conditional logic editor — users cannot inspect or manually override generated rules","Branching logic not exportable to other survey platforms — vendor lock-in for complex conditional forms"],"requires":["Metaforms account","Clear description of response segments during form generation","Responses from at least 10-20 test respondents for logic validation"],"input_types":["natural language description of branching intent","response data from form submissions"],"output_types":["conditional form logic (internal representation)","rendered adaptive form with dynamic question display"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_2","uri":"capability://text.generation.language.chatbot.style.form.interaction.and.response.collection","name":"chatbot-style form interaction and response collection","description":"Renders forms as conversational chatbot interfaces where questions appear sequentially in a chat-like format rather than as traditional static form fields. This interaction pattern uses message-based UI rendering with natural language question phrasing, creating a more engaging experience that increases response completion rates. The system collects responses through conversational input (text, buttons, selections) rather than form field submission.","intents":["I want to increase survey completion rates by making forms feel like natural conversations","I need to collect feedback through a mobile-friendly chat interface rather than a traditional form","I want to create a more engaging user research experience that feels less like a survey"],"best_for":["mobile-first user research teams prioritizing completion rates over data volume","product teams collecting in-app feedback through conversational interfaces","researchers targeting younger demographics who prefer chat-based interactions"],"limitations":["Chatbot format less suitable for complex matrix questions or multi-select grids — sequential rendering makes comparison difficult","Response time increases for long surveys — conversational pacing slower than traditional form submission","Mobile keyboard input required for open-ended questions — no rich text editing or file upload in chat format"],"requires":["Metaforms account","Modern web browser with JavaScript enabled","Mobile-optimized form design (recommended for chat interface)"],"input_types":["text responses","button selections","multiple choice selections","rating inputs"],"output_types":["structured response data mapped to form questions","conversation transcript (optional)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_3","uri":"capability://data.processing.analysis.real.time.response.aggregation.and.basic.analytics.dashboard","name":"real-time response aggregation and basic analytics dashboard","description":"Collects form responses in real-time and renders them in a dashboard with basic aggregation metrics (response counts, completion rates, average ratings). The system provides immediate visibility into response patterns through charts and summary statistics without requiring manual data export or analysis. Analytics update as new responses arrive, enabling live monitoring of survey campaigns.","intents":["I want to see survey results in real-time as responses come in without exporting to spreadsheets","I need quick visibility into response rates and basic metrics during a feedback campaign","I want to monitor NPS or CSAT scores as they accumulate from users"],"best_for":["product teams running time-sensitive feedback campaigns needing immediate insights","solo researchers without analytics infrastructure","startups validating hypotheses through quick feedback collection"],"limitations":["Analytics limited to basic aggregation — no statistical significance testing, cohort analysis, or advanced segmentation","No cross-tabulation or multi-variable analysis — cannot correlate responses across multiple questions","Dashboard data not exportable to BI tools — requires manual screenshot or CSV export for further analysis","Real-time updates may lag 30-60 seconds depending on server load"],"requires":["Metaforms account with active form","At least 1 response submitted","Modern web browser for dashboard access"],"input_types":["form responses (text, ratings, selections)"],"output_types":["aggregated metrics (counts, percentages, averages)","basic charts (bar, pie, line)","CSV export of raw responses"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_4","uri":"capability://automation.workflow.form.sharing.and.response.collection.via.unique.urls","name":"form sharing and response collection via unique urls","description":"Generates shareable form URLs that can be distributed via email, messaging, or embedded on websites for response collection. The system manages form access control, response tracking, and respondent identification through URL parameters and optional authentication. Forms can be shared publicly or restricted to specific audiences through link-based access controls.","intents":["I want to share a survey link with customers and track who responded","I need to embed a feedback form on my website without building custom infrastructure","I want to send a survey via email and collect responses without managing a database"],"best_for":["product teams distributing surveys to external audiences","researchers collecting feedback from distributed user bases","teams without backend infrastructure for response collection"],"limitations":["No built-in respondent authentication — public links vulnerable to duplicate responses from same user","URL-based access control limited — cannot enforce IP-based restrictions or SSO","Response tracking relies on cookies/browser storage — unreliable across devices or private browsing","No rate limiting on free tier — forms vulnerable to spam responses"],"requires":["Metaforms account","Active form created","Distribution channel (email, messaging, website)"],"input_types":["form configuration"],"output_types":["shareable URL","embedded form code (iframe)","response data"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_5","uri":"capability://text.generation.language.ai.powered.question.refinement.and.suggestion","name":"ai-powered question refinement and suggestion","description":"Suggests improvements to form questions based on best practices and research methodology, using LLM analysis to identify ambiguous phrasing, leading questions, or missing follow-ups. The system can rewrite questions for clarity, suggest additional questions to fill research gaps, and flag potential bias in question design. Refinements are presented as suggestions that users can accept or reject.","intents":["I want AI to review my survey questions for bias or unclear phrasing before sending","I need suggestions for follow-up questions I might have missed","I want to improve question clarity without hiring a research consultant"],"best_for":["researchers without formal survey design training","product teams wanting to improve survey quality quickly","non-experts conducting user research for the first time"],"limitations":["Suggestions may not account for domain-specific terminology or industry conventions — generic best practices applied uniformly","LLM bias in suggestions — may recommend leading questions if training data contained biased surveys","No validation against actual research methodology standards — suggestions are heuristic-based, not evidence-based","Requires manual review of all suggestions — no automated application without user confirmation"],"requires":["Metaforms account","Existing form with questions","Manual review and acceptance of suggestions"],"input_types":["form questions (text)"],"output_types":["suggested question rewrites","bias/clarity flags","follow-up question suggestions"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_6","uri":"capability://data.processing.analysis.response.export.and.data.integration","name":"response export and data integration","description":"Exports collected responses in multiple formats (CSV, JSON) and integrates with external tools through API or webhook integrations. The system enables data pipeline connections to analytics platforms, CRM systems, or data warehouses for downstream analysis. Exports include raw response data, aggregated metrics, and optional respondent metadata.","intents":["I want to export survey responses to analyze in Excel or my data warehouse","I need to automatically sync responses to my CRM when customers submit feedback","I want to integrate form responses with my analytics pipeline"],"best_for":["teams with existing data infrastructure needing form data integration","researchers using external tools for analysis (R, Python, Tableau)","companies automating feedback workflows across multiple systems"],"limitations":["API rate limits on free tier — limited export frequency (unknown specific limits)","Webhook delivery not guaranteed — no retry logic or delivery confirmation documented","Export format limited to CSV/JSON — no native Parquet or database connectors","No field mapping or transformation — raw export requires downstream processing"],"requires":["Metaforms account","API key for integrations (paid tier)","External tool/platform for data consumption","Basic API/webhook knowledge for custom integrations"],"input_types":["form responses"],"output_types":["CSV file","JSON data","webhook payloads","API responses"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_metaforms__cap_7","uri":"capability://automation.workflow.freemium.access.with.usage.based.tier.progression","name":"freemium access with usage-based tier progression","description":"Offers free tier with limited form creation and response collection, with automatic tier progression to paid plans as usage increases. The system tracks form count, response volume, and feature usage to determine tier eligibility, enabling users to start free and upgrade only when needed. Pricing is transparent with clear upgrade paths.","intents":["I want to try form creation without paying upfront","I need a survey tool that scales with my usage without surprise costs","I want to start free and upgrade only when my research needs grow"],"best_for":["startups and solo researchers with limited budgets","teams validating product-market fit before committing to paid tools","users uncertain about long-term survey needs"],"limitations":["Free tier feature limitations not fully documented — unclear which advanced features require paid tier","Upgrade path may be aggressive — unclear at what usage levels users are prompted to upgrade","No annual discount option mentioned — monthly pricing only","Free tier may include ads or branding — not specified"],"requires":["Email address for account creation","No credit card required for free tier"],"input_types":["none (account creation only)"],"output_types":["account access","form creation capability"],"categories":["automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":42,"verified":false,"data_access_risk":"high","permissions":["Active internet connection for LLM inference","Metaforms account (free tier available)","Natural language description of research goals (no technical form syntax required)","Metaforms account","Clear description of response segments during form generation","Responses from at least 10-20 test respondents for logic validation","Modern web browser with JavaScript enabled","Mobile-optimized form design (recommended for chat interface)","Metaforms account with active form","At least 1 response submitted"],"failure_modes":["Generated questions may lack domain-specific nuance without iterative refinement — generic phrasing common for specialized industries","Conversation context limited to single session — no persistent form templates across projects without manual export","LLM hallucination risk for complex conditional logic — may generate question dependencies that don't semantically align with research goals","Complex multi-level branching (3+ levels deep) may produce illogical question sequences — LLM struggles with deep dependency chains","No visual conditional logic editor — users cannot inspect or manually override generated rules","Branching logic not exportable to other survey platforms — vendor lock-in for complex conditional forms","Chatbot format less suitable for complex matrix questions or multi-select grids — sequential rendering makes comparison difficult","Response time increases for long surveys — conversational pacing slower than traditional form submission","Mobile keyboard input required for open-ended questions — no rich text editing or file upload in chat format","Analytics limited to basic aggregation — no statistical significance testing, cohort analysis, or advanced segmentation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.857Z","last_scraped_at":"2026-04-05T13:23:42.551Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=metaforms","compare_url":"https://unfragile.ai/compare?artifact=metaforms"}},"signature":"7y6NSHiVX63ro9q8uSJn1zJtT5cMRT+//b6udVJdFMkOaq7j4T1L4S6M6WrHn5cblu7lMm9ZnD4SYwoHF0duCQ==","signedAt":"2026-06-20T14:36:58.382Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/metaforms","artifact":"https://unfragile.ai/metaforms","verify":"https://unfragile.ai/api/v1/verify?slug=metaforms","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}