From arn-spark
Stress-tests product concepts with structured synthetic interviews using adversarial personas (Pragmatist, Skeptic, Power User) across three phases, producing reports with findings, themes, and recommendations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/arn-spark:arn-spark-stress-interviewThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Stress-test a product concept by conducting structured synthetic user interviews. This skill generates 3 synthetic personas from the product concept's persona moulds, applies adversarial casting overlays (Pragmatist, Skeptic, Power User), and runs each through a 3-phase "Two-Part Reveal" interview protocol:
Stress-test a product concept by conducting structured synthetic user interviews. This skill generates 3 synthetic personas from the product concept's persona moulds, applies adversarial casting overlays (Pragmatist, Skeptic, Power User), and runs each through a 3-phase "Two-Part Reveal" interview protocol:
The process produces brutally honest feedback from 3 distinct adversarial perspectives, synthesized into actionable concept update recommendations. The product concept is read but never modified -- all recommendations are captured in the interview report for later review.
CLAUDE.md and check for a ## Arness section## Arness section exists or Arness Spark fields are missing, inform the user: "Arness Spark is not configured for this project yet. Run /arn-brainstorming to get started — it will set everything up automatically." Do not proceed without it.mkdir -p <reports-dir>/stress-tests/| Artifact | Status | Location | Fallback |
|---|---|---|---|
| Product concept | REQUIRED | <vision-dir>/product-concept.md | Cannot proceed without it -- suggest running /arn-spark-discover |
| Persona moulds | REQUIRED | Target Personas section of product concept | Fallback cascade below |
| Product pillars | ENRICHES | Product Pillars section of product concept | Interview proceeds but questions are less targeted |
| Competitive landscape | ENRICHES | Competitive Landscape section of product concept | Phase 3 competitive comparison questions are skipped |
Persona moulds fallback cascade:
If the product concept exists but the Target Personas section is missing or contains "Not explored" sentinel:
Ask (using AskUserQuestion): "The product concept does not include persona moulds, which are needed to generate synthetic interview subjects. How would you like to proceed?"
/arn-spark-discover to generate personas through product discoveryIf the user chooses option 2, collect brief descriptions and invoke arn-spark-persona-architect in instantiation mode to generate persona instances with casting overlays before proceeding.
Load the interview protocol, persona casting spec, and report template:
Read
${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-interview/references/interview-protocol.mdRead${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-interview/references/persona-casting-spec.mdRead${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-interview/references/interview-report-template.md
Read the product concept from <vision-dir>/product-concept.md. Extract:
Select 3 persona moulds from the product concept. If more than 3 moulds exist, select the 3 most diverse in adoption posture and technical sophistication.
For each mould, invoke arn-spark-persona-architect in instantiation mode with:
--- PERSONA MOULD --- [full abstracted profile from product concept] --- END PERSONA MOULD ---
--- CASTING OVERLAY --- [overlay specification from persona-casting-spec.md -- one of Pragmatist, Skeptic, Power User] --- END CASTING OVERLAY ---
--- PRODUCT CONTEXT --- [product vision and problem statement for domain grounding] --- END PRODUCT CONTEXT ---
Assign overlays following the priority in the casting spec: natural fit first, then maximize coverage.
Receive back 3 fully detailed concrete personas with casting overlays baked in. Present a brief summary to the user:
"I have generated 3 synthetic interview subjects:
Starting interviews now. Each persona goes through 3 phases: blind problem check, full reveal, and dealbreaker probe."
Run interviews in 3 waves. Each wave runs one phase for all 3 personas in parallel. Each persona's interview context is independent -- no cross-persona information is shared between parallel invocations.
Run all 3 personas' Phase 1 interviews in parallel. For each persona in parallel:
Invoke arn-spark-product-strategist with:
--- PRODUCT CONCEPT --- [full product concept] --- END PRODUCT CONCEPT ---
--- INTERVIEW PROTOCOL --- Phase 1 goal: formulate 2-3 questions that probe problem recognition without revealing the solution. Strip solution-specific language from the problem description. --- END INTERVIEW PROTOCOL ---
--- PERSONA PROFILE --- [full cast persona profile] --- END PERSONA PROFILE ---
Then invoke arn-spark-persona-impersonator with:
--- PERSONA PROFILE --- [full cast persona profile] --- END PERSONA PROFILE ---
--- CASTING OVERLAY --- [overlay name and specification] --- END CASTING OVERLAY ---
--- PRODUCT CONCEPT SUMMARY --- [problem space description ONLY -- no product details] --- END PRODUCT CONCEPT SUMMARY ---
--- INTERVIEW PHASE --- reaction --- END INTERVIEW PHASE ---
--- INTERVIEW PROMPT --- [questions from product strategist] --- END INTERVIEW PROMPT ---
Record the full response for each persona.
After all 3 personas' Phase 1 responses are collected, proceed to Wave 2.
After Wave 1 completes, run all 3 personas' Phase 2 interviews in parallel. Each persona's Phase 2 needs only its own Phase 1 context (available from Wave 1). For each persona in parallel:
Invoke arn-spark-product-strategist with that persona's Phase 1 responses and the full product concept, requesting Phase 2 questions that target gaps between the persona's described problem and the product's proposed solution.
Then invoke arn-spark-persona-impersonator with the full product concept revealed, interview phase set to probing, and questions from the strategist. Include that persona's Phase 1 responses as prior context.
Record the full response for each persona.
After all 3 personas' Phase 2 responses are collected, proceed to Wave 3.
After Wave 2 completes, run all 3 personas' Phase 3 interviews in parallel. Each persona's Phase 3 needs only its own Phase 1+2 context. For each persona in parallel:
Invoke arn-spark-product-strategist with that persona's Phase 1+2 responses, requesting Phase 3 questions that force the persona to confront known limitations, scope boundaries, and competitive alternatives.
Then invoke arn-spark-persona-impersonator with that persona's Phase 1+2 responses as prior context, interview phase set to stress, weakest aspects and scope boundaries explicitly highlighted, and questions from the strategist.
Record the full response for each persona.
After all 9 interviews are complete, invoke arn-spark-product-strategist with:
--- PRODUCT CONCEPT --- [full product concept] --- END PRODUCT CONCEPT ---
--- PRODUCT PILLARS --- [product pillars section] --- END PRODUCT PILLARS ---
--- INTERVIEW TRANSCRIPTS --- [all 9 persona-impersonator responses organized by persona and phase] --- END INTERVIEW TRANSCRIPTS ---
--- SYNTHESIS TASK ---
Using the interview report template:
<reports-dir>/stress-tests/interview-report.md already exists, inform the user: "A previous interview report exists. It will be overwritten (git preserves history)."<reports-dir>/stress-tests/interview-report.mdPresent a summary to the user:
"Interview stress test complete. Report saved to [path].
Key findings:
Recommended concept updates: [N] recommendations ([X] Add, [Y] Modify, [Z] Remove) Unresolved questions: [N]
This report will be used by /arn-spark-concept-review to propose changes to the product concept."
| Situation | Agent | Mode/Context |
|---|---|---|
| Generate cast personas from moulds | arn-spark-persona-architect | Instantiation mode with casting overlay |
| Formulate Phase 1 questions | arn-spark-product-strategist | Question formulation from problem statement |
| Conduct Phase 1 interview | arn-spark-persona-impersonator | Reaction phase, blind problem check |
| Formulate Phase 2 questions | arn-spark-product-strategist | Question formulation targeting revealed concept |
| Conduct Phase 2 interview | arn-spark-persona-impersonator | Probing phase, full concept revealed |
| Formulate Phase 3 questions | arn-spark-product-strategist | Question formulation targeting weaknesses |
| Conduct Phase 3 interview | arn-spark-persona-impersonator | Stress phase, dealbreaker probe |
| Synthesize all interview findings | arn-spark-product-strategist | Synthesis with all transcripts |
Persona architect returns generic personas: Retry with more specific mould details and casting overlay instructions. If retry fails:
Ask (using AskUserQuestion): "Persona generation produced generic results. How would you like to proceed?"
Persona impersonator breaks character: Retry once with a simplified prompt that re-emphasizes the persona profile and casting overlay. If retry fails, record what was captured and note the gap in the report. Continue with remaining phases/personas.
Persona impersonator breaks character (persistent): After retry failure:
Ask (using AskUserQuestion): "The persona impersonator is not maintaining character. How would you like to proceed?"
Product strategist returns unhelpful questions: Use the interview protocol's question types directly as fallback questions. Note in the report that strategist-formulated questions were replaced with protocol defaults.
Any agent invocation fails entirely: Retry once with a simplified prompt. If retry fails:
Ask (using AskUserQuestion): "Agent invocation failed. How would you like to proceed?"
interview-report.md already exists, it is overwritten. Git provides history.npx claudepluginhub appsvortex/arness --plugin arn-sparkConducts simulated user interviews via diverse personas (founder-twin, adversarial, etc.) for solo/hobby/dogfood projects, enforcing anti-bias discipline like pre-defined spectra and stop conditions.
Coach PM candidates through product-sense interviews with a six-part answer spine: clarify, rationale, goal, segmentation, pain points, and solution. Prevents solution-jumping and produces crisp spoken answers.
Prepares hypothesis-driven user interview guides based on Teresa Torres, Rob Fitzpatrick, Bob Moesta, and Cindy Alvarez. Runs live or imports from Granola, extracts signal into FEEDBACK.md.