Beta Feedback Collection Template

For B2B SaaS, 20-50 users from 10-20 companies gives you enough signal to identify the top 5-10 issues. Below 20 users, patterns are unreliable. Above 50, you are running an early access program and should add quantitative tracking (analytics, NPS surveys) alongside qualitative feedback. The [Product Analytics Handbook](/analytics-guide) covers how to set up quantitative tracking alongside qualitative feedback.

Three things matter. First, respond to every piece of feedback within 24 hours, even if the response is "Thanks, we logged this." Second, send a weekly update showing what you changed based on their input. Third, give beta users direct access to a PM (Slack channel or email), not just a support form. Users who feel heard stay engaged. Users who feel ignored churn.

When your success criteria are met or you have enough data to make informed decisions about remaining gaps. Most betas run 4-8 weeks. Ending too early means you miss usage patterns that only appear after the novelty wears off (usually week 3-4). Ending too late means you are delaying revenue for diminishing returns on learning.

Apply the three-question filter from the synthesis framework. A feedback item is signal if: (1) multiple users report it independently, (2) it blocks a core workflow or learning goal, and (3) fixing it would change user behavior. A feature request from one user that does not affect core workflows is noise. A usability issue reported by 6 users that blocks onboarding is signal. ---