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Lyssna Test Plan Builder
Build an end-to-end unmoderated study — tasks, participant criteria, metrics, and pass/fail success criteria — ready to paste into Lyssna.
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Generated plan
# Lyssna Test Plan — Dealer Sales Workspace — spec lookup flow **Test type:** Prototype test **Best used for:** Task flows, interactions, and end-to-end usability. **Sample size:** 30 participants **Device:** desktop ## 1. Hypothesis We believe consolidating spec lookup and lead capture into a single workspace will let reps answer buyer questions without leaving eye contact. We'll know we're right when ≥80% of reps complete a full spec-to-lead flow without switching apps. ## 2. Decision this test drives Ship the consolidated workspace as the default rep home screen, or keep the current multi-app workflow. ## 3. Participant criteria **Audience:** Marine sales reps at independent-brand and third-party dealers, 1+ years on the floor, use CRM daily. **Screener questions:** 1. Do you currently work as a boat sales rep at a dealership? → Qualify: Yes 2. How often do you use a CRM at work? → Qualify: Daily 3. How many years have you sold boats? → Qualify: 1+ ## 4. Tasks / stimuli **Task 1.** Imagine you're [persona/scenario]. Using this prototype, complete [task]. Think aloud as you go. ## 5. Follow-up questions 1. What, if anything, would stop you from using this on the showroom floor tomorrow? 2. Rate ease of this task from 1 (very hard) to 7 (very easy). ## 6. Metrics we'll capture - Task success rate - Time on task - Misclick rate - SEQ (Single Ease Question) ## 7. Success criteria - ≥80% task completion on core flow. - Average SEQ ≥ 5.5 / 7. ## 8. Analysis & reporting - Lead with the decision, then the evidence (e.g. "Ship option A — first-click success rose from 42% to 78%, n=30"). - Segment by self-reported experience level; novices and experts often diverge. - Pair each quantitative chart with 2–3 verbatim open responses. - Note sample size and scenario next to every headline number. ## 9. Pilot checklist (run before full launch) - [ ] 3–5 pilot responses collected - [ ] All prototype links / stimuli load on target device - [ ] Task wording is scenario-based, not leading - [ ] Screeners actually filter (check drop-off rate) - [ ] Consent + incentive language reviewed
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