💪🏼 What You’ll Own:

1. Early Adopter Community Management

• Serve as the main POC for all beta testers (families and therapists).

• Onboard new testers with clear, simple “here’s how to start” guidance.

• Maintain an up-to-date roster of testers and their engagement status.

• Proactively reach out to participants who appear stuck or inactive.

2. Communications & Expectation Setting

• Plan and send regular program communications (e.g., weekly updates) that cover:

• What’s new (features, fixes, UX tweaks).

• What we’d like testers to try next.

• How their feedback is shaping the product.

• Set and reinforce expectations for time commitment, feedback channels, and program goals.

• Reuse and refine templates for welcomes, check-ins, and feature announcements.

3. Feedback, Bugs & Ticket Flow (Slack + Linear)

• Monitor inbound feedback and questions in Slack, email, and lightweight surveys.

• Log and triage issues into Linear:

• Bugs: repro steps, screenshots, device/app version, severity.

• UX friction / feature requests: tagged by area (onboarding, prompts, content, etc.).

• Keep a simple mapping of testers → reported issues/requests → status (open, in progress, shipped, parked).

4. Weekly Insights & Usage Synthesis

• Produce a concise weekly insights summary for the internal team that highlights:

• What’s working well and what’s confusing.

• Activation and drop-off points in the experience.

• 2–3 priority recommendations for UX, content, or product experiments.

• Include a small number of anonymized “real-life” stories to bring the data to life, as available.

🙌🏼 How We’ll Know It’s Working

• Testers feel supported, know what to do next, and stay engaged.

• Bugs and feedback are captured cleanly, with low “translation cost” for engineering.

• Weekly insight summaries influence what we ship, and we can point to specific changes driven by the early-adopter community.

🤹‍♀️ You Will Work on Things Like…

• Building small prototypes using libraries such as Whisper, Faster-Whisper, Transformers.js, spaCy, or OpenAI APIs.

• Testing prompt-engineering strategies or embeddings pipelines for in-app semantics.

• Benchmarking TTS voices for clarity, tone, and support needs in neurodivergent learning.

• Running multilingual tests to assess feasibility of expansion into new languages.

• Evaluating open-source contributions and identifying integration opportunities.

• Designing edge-case tests to ensure NLP behaviors meet accessibility constraints

🤝 Operating Rhythm

• Daily: Monitor comms, route issues to Linear, acknowledge feedback.

• Weekly: Send community update + internal insights summary; sync with product/engineering on priorities.

• Monthly: Review tester roster, overall patterns, and implications for roadmap and UX experiments.

⚒️ Tools & Interfaces

• Slack – primary internal and (if used) external community channel for day-to-day conversation.

• Linear – source of truth for bugs, UX issues, and feature requests originating from the beta community.

1. Survey / form tool + simple doc/spreadsheet – for structured feedback and insight tracking.