Results for “persona-based-journeys”

Create detailed, actionable user personas from research data, capturing jobs-to-be-done, pain points, desired gains, and unexpected behavioral insights to guide product decisions.

Generate data-driven user personas for UX research and product design. Usage: /persona generate [options]

Create refined user personas from research data with demographics, goals, frustrations, and behavioral patterns for product and UX design decisions.

Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. Use when building personas from survey data, creating user profiles from research, or segmenting users for product decisions.

Research a specific person for hyperpersonalized outreach using their public activity

Create data-backed customer personas with market research, demographics, psychographics, jobs-to-be-done, journey mapping, and avatar generation.

Creates a comprehensive end-to-end user journey map with stages, touchpoints, emotions, pain points, and opportunity areas for product design and UX analysis.

Casting personas: rapid generation from diverse inputs, registry-based persistence and lifecycle, data-driven evolution, inter-agent sync. Not for UI walkthroughs (Echo) or user research (Field).

Analyzing session replays, extracting persona-based behavioral patterns, and storytelling UX issues. Reads the 'why' from real user operation logs. Works with Field/Echo for persona validation.

Creates research-backed user personas with JTBD, pain points, gains, and unexpected behavioral insights. Use when building personas from survey or interview data, or segmenting users to inform product decisions. Triggers on: user persona, user profile, customer segment, jobs-to-be-done, JTBD, persona creation, user segmentation, target user, who are our users.

Run a customer journey mapping workshop with adaptive questions to map stages, actions, emotions, pain points, and opportunities for a persona and scenario.

Design a diary study plan with prompts, duration, participant criteria, and analysis framework to understand user behavior over time in natural contexts.

Organize research by managing references, notes, and collaboration across Google Drive, Docs, Sheets, and Gmail.

Mental models and decision frameworks for building autonomous agents that continuously learn, explore, and accumulate skills in open-ended environments without human supervision

Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities to identify friction points and improve user experience.

Agente Researcher do time Code New Project Agents. A partir de `ideation.md`, aprofunda o público-alvo em 1 a 3 personas estruturadas com jornadas. Use quando o usuário digitar "/reversa-researcher", "reversa-researcher" ou quando invocado pelo orquestrador `/reversa-new`. Produz `_reversa_sdd/personas.md`.

当需要从零开始构建个人生活方向，摆脱无意义的外部路径时

Use this when a feature or product needs a clear end-to-end user journey across entry, action, system response, and outcome. Trigger on requests to map the full experience before screens or components are finalized.

Create a working customer profile from existing research, market signals, and team knowledge before deeper validation.

Builds a hyperpersonalization packet for each lead by chaining company-researcher, cro-auditor, and person-researcher. The packet feeds into message-generator for Tier 3 personalized outreach.

Manage user journey mapper operations. Auto-activating skill for Visual Content. Triggers on: user journey mapper, user journey mapper Part of the Visual Content skill category. Use when working with user journey mapper functionality. Trigger with phrases like "user journey mapper", "user mapper", "user".

User research specialist. Designs interview guides, usability test plans, qualitative data analysis, persona creation, and journey mapping. Complements Echo's UI validation. Use when user research design or analysis is needed.

Detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis.

Synthesize personas and jobs-to-be-done from evidence with confidence levels. Use when: (1) audience segmentation, (2) messaging alignment, (3) feature prioritization inputs. NOT for: stereotype-based profiling.

Visualize the user journey by creating a hierarchical map of activities, steps, and tasks to build shared understanding and prioritize features.

Create user acceptance test journeys from a target user's perspective, with role-based scenarios, acceptance criteria, and evidence capture

Plan customer discovery conversations with hypotheses, prompts, probes, and capture fields.

Cross-page UX audit for user stories, task completion, and information architecture — the layer audit-ux (per-page heuristics) skips. Use when "audit user flows", "IA audit", "can users find X", "navigation audit", or "funnel drop-off". Full DS burndown → plan-uiux-unification.

Customer insight specialist for audience understanding. Use when defining target audience, buyer personas, customer pains, value mapping, problem discovery, audience language. Triggers: 'who would buy this', 'target audience', 'buyer persona', 'customer pain points', 'ideal customer', 'user problems', 'value proposition', 'audience research'.

当需要将个人目标或生活挑战转化为结构化、可执行的游戏化系统时

Compares 2–5 audience segments side by side across key metrics, identifying winners, losers, and significant differences to inform product decisions and personalization strategy.

Takes a conference or event speakers URL, extracts the people, filters their companies against the user's ICP, and deep-researches only the speakers at ICP-fit companies. Outputs a person-first HTML report with a 'why reach out' rationale per person.

Designs and automates identity governance lifecycle processes including joiner-mover-leaver workflows, role mining, access requests, periodic recertification, and orphaned account remediation using IGA platforms.

Guide product managers through breaking down epics into user stories using the Humanizing Work methodology with 9 splitting patterns.

Conduct a design interview, generate 5 distinct UI variations in a temporary route, collect real click-to-comment feedback on the live rendered variants via human-review, and produce an implementation plan. Use when the user wants to explore UI design options, redesign an existing component/page, or create new UI with multiple genuinely different approaches to compare — before writing production code or committing to a direction. For a lighter, single-component variant picker with no interview, use `prototype` instead. For reviewing a UI that's already real (not exploring new directions), use `visual-review`. Source: adapted from github.com/0xdesign/design-plugin's design-lab skill (interview + 5-variant structure), with feedback collection replaced by this repo's own `visual-review` skill (human-review) instead of a bespoke overlay component.