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    Design Research Pro — Build Creative Decisions on Evidence

    1

    Plan proportionate design research and turn authorized findings into traceable principles, opportunities, hypotheses and validation decisions.

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    Design Research Pro — Build Creative Decisions on Evidence

    Design Research Pro — Build Creative Decisions on Evidence

    Example session with this skill installed

    Illustrative scenario: We are deciding whether to simplify a signup form. Two supplied usability notes say participants could not identify which fields were required; one participant completed it without trouble. No timings, representative sample or analytics exists. Create a research brief and a testable design hypothesis without claiming a conversion increase.

    • Read your context and instructions
    • Compiled the design research pro

    Design research synthesis — illustrative supplied notes

    Decision: whether and how to clarify required fields in signup. Evidence: two notes report difficulty identifying required fields; one reports successful completion. Participant identifiers, recruitment and exact prototype context are unknown.

    Finding: required-field clarity is a plausible usability issue for some observed participants. Counter-evidence: one completed without trouble. Three notes do not establish prevalence, average task time or conversion loss.

    Interpretation: unclear field labeling may contribute to hesitation, but the actual cause needs contextual observation. Do not infer all users dislike the form or that fewer fields necessarily solve it.

    Design principle proposal: make required/optional status understandable and accessible without relying only on color. Hypothesis: clear field indicators and instructions improve users’ ability to identify completion requirements. No lift prediction.

    Validation plan: inspect the actual form and semantics; recruit relevant users including accessibility needs; compare current and proposed approaches using the same task; observe comprehension, errors and completion under defined conditions. Confirm consent and avoid collecting unnecessary personal data.

    Decision gate: use observed improvement and remaining failure cases to decide whether to adopt, revise or investigate further. Quantitative claims require appropriate denominators, definitions and sample design.

    Traceability: supplied notes → clarity issue → hypothesis → validation criteria. Limits: small sample, unknown recruitment, prototype fidelity, method and instrumentation.

    Execution notes: no users recruited, prototype tested, form changed or conversion measured.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Design Research Pro helps creative and product teams start with the decision research must inform. It turns ambiguous design questions into research questions, selects methods that fit the risk and analyzes supplied interviews, observations, surveys, usability evidence, analytics or references.

    The workflow separates observed evidence, participant statements, quantitative signals, interpretation and recommendations. It synthesizes patterns and contradictions into opportunities, design principles, hypotheses and experiments while preserving source lineage and disconfirming evidence. Accessibility and edge cases belong in the research scope.

    Use legitimate authorized materials or available tools without fabricating participants, quotes, sample sizes, consent or outcomes. Small qualitative samples can reveal problems or mechanisms but not prevalence. Research should change a concrete decision, with limits from recruitment, methods, context, instrumentation and time made visible.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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