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Handles data residency, consent tracking, and privacy requirements natively without requiring separate compliance workflows.","intents":["I need to ensure our customer research complies with GDPR regulations","I want to process EU customer data without worrying about compliance violations","I need audit trails and consent documentation for our research data"],"best_for":["EU-based companies and teams","Organizations processing EU customer data","Companies with strict data privacy requirements","Teams that have had compliance issues with other tools"],"limitations":["GDPR compliance is only as strong as the input data's consent documentation","Doesn't eliminate need for data processing agreements with vendors","May restrict certain data enrichment or third-party integrations"],"requires":["Proper consent documentation for all research participants","Data processing agreements in place","Understanding of GDPR obligations for your use case","EU data residency if required by regulation"],"input_types":["customer research data with consent metadata","interview recordings and transcripts","survey responses with consent flags"],"output_types":["GDPR-compliant journey maps","audit logs and consent records","data processing documentation"],"categories":["compliance","data-privacy","customer-research"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_3","uri":"capability://customer.research.insight.extraction.from.research","name":"insight-extraction-from-research","description":"Automatically identifies and extracts key insights, pain points, moments of truth, and behavioral patterns from raw customer research data. Surfaces actionable findings that would require manual analysis to discover.","intents":["I need to find the key pain points in our customer research without reading hundreds of transcripts","I want to identify patterns and themes across multiple interviews automatically","I need to extract actionable insights from our research data quickly"],"best_for":["Research teams with large volumes of qualitative data","Product teams without dedicated research analysts","Organizations looking to operationalize research faster"],"limitations":["AI may miss nuanced or context-dependent insights that human researchers would catch","Requires validation by experienced researchers to avoid false patterns","Works best with rich, detailed research data rather than brief responses","May surface obvious insights while missing deeper behavioral drivers"],"requires":["Sufficient volume of research data (interviews, transcripts, feedback)","Research data with adequate detail and context","Human expertise to validate and prioritize extracted insights"],"input_types":["interview transcripts","survey open-ended responses","customer feedback text","support interactions","user testing notes"],"output_types":["insight summaries","pain point lists","pattern identification reports","opportunity statements"],"categories":["customer-research","product-management","analytics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_4","uri":"capability://customer.research.journey.map.customization.and.export","name":"journey-map-customization-and-export","description":"Allows users to customize AI-generated journey maps with additional details, annotations, and business context, then export in multiple formats for sharing and presentation. Enables teams to refine and operationalize journeys across the organization.","intents":["I need to customize the AI journey map to match our specific business context","I want to export journey maps in a format I can share with stakeholders","I need to add our internal metrics and KPIs to the journey visualization"],"best_for":["Teams needing to present journeys to stakeholders","Organizations with specific journey mapping standards","Users wanting to extend AI outputs with domain expertise"],"limitations":["Freemium model may restrict export formats or customization depth","Extensive customization can reduce the time-saving benefit of automation","Export quality depends on chosen format and tool compatibility"],"requires":["Generated journey map from the AI synthesis capability","Access to customization tools (may be behind paywall)","Understanding of desired output format and stakeholder needs"],"input_types":["AI-generated journey map","custom annotations and notes","business metrics and KPIs","internal context and domain knowledge"],"output_types":["PDF journey map","interactive HTML visualization","PowerPoint/presentation format","JSON/structured data export","image files (PNG, SVG)"],"categories":["customer-research","product-management","collaboration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_5","uri":"capability://customer.research.research.data.quality.assessment","name":"research-data-quality-assessment","description":"Evaluates the quality and completeness of input research data to flag potential issues that could impact journey map accuracy. 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Creates persona profiles that reflect actual customer behaviors and characteristics found in research.","intents":["I want to create personas based on our actual research data, not assumptions","I need to identify distinct customer segments from our journey analysis","I want to generate persona profiles to guide product decisions"],"best_for":["Product teams building products for multiple customer segments","Organizations wanting data-driven personas instead of hypothetical ones","Teams with rich qualitative research data"],"limitations":["Personas are only as diverse as the research sample—may miss niche segments","AI-generated personas may lack the narrative depth of manually crafted ones","Requires sufficient data volume to identify meaningful segments"],"requires":["Completed journey mapping analysis","Sufficient research data with demographic and behavioral information","Clarity on what persona dimensions matter for your business"],"input_types":["journey map data","customer demographic information","behavioral patterns from research","customer segment definitions"],"output_types":["persona profiles","segment descriptions","persona characteristics and behaviors","persona journey variations"],"categories":["customer-research","product-management","marketing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_7","uri":"capability://customer.research.touchpoint.and.channel.mapping","name":"touchpoint-and-channel-mapping","description":"Identifies and maps all customer touchpoints and channels from research data, showing where customers interact with the brand across digital and physical channels. Visualizes the complete omnichannel experience.","intents":["I need to see all the places where customers interact with our brand","I want to understand our omnichannel customer experience","I need to identify which channels are most important in the customer journey"],"best_for":["Omnichannel retailers and service providers","Organizations with complex multi-channel operations","Teams optimizing channel strategy"],"limitations":["Accuracy depends on research data capturing all relevant touchpoints","May not identify emerging or new channels not mentioned in research","Doesn't automatically measure channel effectiveness—requires additional analysis"],"requires":["Research data that includes customer descriptions of touchpoints","Understanding of all channels your organization operates","Clarity on what constitutes a 'touchpoint' for your business"],"input_types":["customer interview transcripts","customer journey descriptions","channel interaction data","behavioral analytics"],"output_types":["touchpoint map visualization","channel interaction matrix","omnichannel journey diagram","touchpoint inventory list"],"categories":["customer-research","marketing","customer-experience"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_8","uri":"capability://customer.research.pain.point.and.opportunity.identification","name":"pain-point-and-opportunity-identification","description":"Automatically detects customer pain points, frustrations, and unmet needs from research data, then maps corresponding business opportunities. Highlights where improvements would have the greatest impact.","intents":["I want to find the biggest customer pain points from our research","I need to identify where we have the biggest opportunities to improve","I want to prioritize improvements based on customer impact"],"best_for":["Product teams prioritizing feature development","Customer experience teams identifying improvement areas","Organizations wanting to focus on high-impact changes"],"limitations":["AI may identify surface-level pain points while missing root causes","Requires human judgment to assess feasibility and business impact of addressing pain points","May overweight frequently mentioned issues vs. high-impact issues"],"requires":["Rich qualitative research data with customer frustrations and needs","Domain expertise to validate and prioritize identified opportunities","Understanding of business constraints and feasibility"],"input_types":["customer interview transcripts","feedback and complaint data","support ticket content","user testing observations","survey open-ended responses"],"output_types":["pain point inventory","opportunity statements","impact/effort prioritization matrix","improvement recommendations"],"categories":["customer-research","product-management","ux-design"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_theydo-journey-ai__cap_9","uri":"capability://customer.research.journey.stage.and.emotion.tracking","name":"journey-stage-and-emotion-tracking","description":"Maps customer emotions and sentiment across different stages of the journey, showing how emotional state changes through the experience. 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