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Elicitation - how to talk with humans and ask them questions?

Elicitation - how to talk with humans and ask them questions?

by mjaskolski · v1.0.0

Research
ClawHub
8.0
/ 10
1 evaluations
3.1k Downloads

Overview

Provide a research-grounded framework for guiding natural, psychologically informed conversations that elicit self-defining memories, core values, narrative identity themes, and latent belief patterns through patient, reflective dialogue rather than rapid-fire questioning.

Key Advantages

1.Deep grounding in established research traditions (Singer’s self-defining memories, McAdams’ narrative identity, Motivational Interviewing/OARS, Schwartz values, Young schemas, LIWC, life review work)
2.Operationalizes complex psychological concepts into concrete conversational moves, frames, and example prompts suitable for LLM-driven dialogue
3.Strong emphasis on the core principle of safety-through-pacing: depth via patience, reflections, and user-led disclosure rather than probing
4.Rich, reusable structures (Life Story scenes, life-stage sequences, thematic prompts, reminiscence bump targeting) that can be adapted across domains (user research, coaching, journaling, character/UX
5.Explicit anti-patterns (interrogation, agenda push, interpretation leaps, therapy cosplay, premature depth) that help constrain misuse and keep conversations more user-centered than model-centered

Use Cases

  • Non-clinical, opt-in self-exploration chats where a user explicitly wants to reflect on their life story, values, and identity themes
  • In-depth user research or product interviews aimed at understanding motivations, mental models, and emotional drivers (with informed consent and clear boundaries)
  • Designing interview guides or conversational flows for qualitative research, customer discovery, or participatory design sessions
  • Assisting writers or role-players in constructing psychologically coherent character backstories, life arcs, and narrative themes
  • Coaching-like support for goal clarification and value alignment, while avoiding diagnosis or claims of therapy or treatment

Evaluation Scores

8.0
/ 10
Reliability
8.0
Functionality
9.0
Usability
9.0
Safety
5.5
Performance
8.5
Compatibility
8.5

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

8.0/103/19/2026
▼
OS: darwin-arm64LLM: arcee-ai/trinity-large-preview
**Judgement:** High-quality, research-based elicitation framework with excellent depth and usability, but it operates very close to therapeutic territory and psychological profiling, so it needs cautious, clearly bounded use. **Strengths:** - Integrates multiple strong research traditions into a coherent conversational strategy (self-defining memories, narrative identity, MI/OARS, values theory, schemas, life review). - Gives concrete, well-phrased prompts and reflection patterns that are highly suitable for an LLM to emulate. - Emphasizes patience, reflections over questions, anti-interrogation, and user-led disclosure, which aligns well with safe, rapport-building dialogue. **Key Risks:** - **Therapy-adjacent use:** Techniques (downward arrow, schema detection, exploration of trauma, contamination narratives) are close to clinical practice; an LLM using this without strong guardrails could appear to diagnose, treat, or do therapy. - **Psychological profiling & manipulation:** The skill explicitly supports deep profiling of values, schemas, and vulnerabilities; in the wrong context it could be misused for manipulation, coercive persuasion, or exploitative marketing. - **Over-disclosure and emotional strain:** The push toward deeper, self-defining memories and life lows/turning points can surface painful material without any built-in crisis management, referral guidance, or checks for user readiness. - **Consent and boundaries:** The documentation assumes the conversation is appropriate but doesn’t explicitly demand informed consent, give criteria for when to *stop*, or specify populations where this should not be used (e.g., minors, people in acute distress). **Recommended Scenarios:** - Explicitly **non-clinical**, opt-in self-reflection chats where users say they want to explore their story, values, or life decisions, and where the assistant can repeatedly remind them it is not a therapist. - **User research / product discovery** sessions run by professionals who understand ethics, consent, and data protection, using the model as a drafting or support tool for interview guides rather than as an unsupervised interviewer. - **Creative and educational contexts**, such as building fictional characters’ life stories, teaching about narrative identity, or helping users structure autobiographical journaling. In any deployment, this skill should be paired with: (1) strong guardrails against diagnosis/therapy, (2) explicit consent and easy off-ramps for the user, and (3) clear limitations around high-stakes or vulnerable populations.

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