## User Feedback Analysis — 2026-03-03 (based on community signals from 2026-02-28 to 2026-03-02) ### Data Notes - Primary sources in this snapshot are Discord discussions across **💬-discussion**, **💬-coders**, and **🥇-partners** (plus a weekly GitHub-focused summary for broader context). - Quantification below is based on **distinct user-reported issues/questions observed in the provided logs** (small sample size; directional, not statistically representative). --- ## 1) Pain Point Categorization (Top recurring friction areas) ### 1. Documentation — “What is production-ready / what should I use?” **Observed frequency:** 3+ distinct questions across 2026-02-28 to 2026-03-02 **Severity:** High (blocks adoption, causes rework) **Specific problems affecting most users** - **Branch/channel ambiguity:** users unsure whether to build on **`v2-develop` vs `alpha`** for production (Julio Holon). - **Plugin readiness unclear:** explicit concern about whether **plugin-orchestrator** and **plugin-code** are tested/viable (Julio Holon). - **Autonomy/cron guidance missing:** recurring question about “cron-like autonomous behavior” in ElizaOS 2.0 (Julio Holon), and then the community ships an external “heartbeat” plugin—suggesting the core story is unclear. --- ### 2. Community — Onboarding disrupted by scams + unanswered newcomer questions **Observed frequency:** 2+ direct mentions (2026-03-01) + downstream effects (unanswered questions) **Severity:** High (trust + retention) **Specific problems** - **Scam bots targeting first-time posters** in discussion channels; moderators are “actively managing” but it “persists” (Arceon). - A newcomer “how do I get started?” question was **left unanswered due to scammer interference** (MochinoLabs). --- ### 3. UX/UI / Support — “Where do I go / who do I contact?” **Observed frequency:** at least 2 repeated asks in the same day **Severity:** Medium-High (creates churn, slows partnerships) **Specific problems** - **“Where can I reach out to the team?”** asked twice and left **unanswered** (0xBlock). - Confusion about whether there’s a more active chat gated by roles; answer was essentially “no, it’s just quiet” (Meme Broker → Odilitime). --- ### 4. Technical Functionality — Platform reliability issues (auto.fun stuck balances) **Observed frequency:** 2 users corroborated **Severity:** High (money-related issue; escalates quickly) **Specific problems** - **Balances stuck on auto.fun** reported (FlipZero💨) and corroborated (patatapicasa), but the resolution steps were **not captured**, leaving others without a fix path. --- ### 5. Technical Functionality — Versioning/deployment mismatch (“wrong Milady agent running”) **Observed frequency:** 1 direct report **Severity:** Medium-High (credibility risk; operational confusion) **Specific problems** - Report that the **wrong Milady agent/version** is running (g). Follow-up suggests a BSC version is gaining traction but may be “the wrong version,” implying a **release/deployment control gap**. --- ### 6. Integration — Plugin architecture friction (tasks/cron + bootstrapping) **Observed frequency:** 1 concrete dev friction point, but central to autonomy use case **Severity:** Medium (blocks extension development) **Specific problems** - Heartbeat plugin initially implemented independently; needed to be refactored to use **plugin-bootstrap task service** (Odilitime guidance). This indicates the “right way” to schedule tasks isn’t obvious to plugin authors. --- ### 7. Documentation / Integration — Token confusion (cross-chain identity + official addresses) **Observed frequency:** 2+ questions in the same thread **Severity:** High (scam risk + reputational risk) **Specific problems** - Users unsure “which token is the right one, Sol or Base?” and request verification of the “original CA” (iory). While clarified (Odilitime), the fact it recurs indicates **official token info is not discoverable enough**. **Quantified note (within this small sample):** In the 2026-03-02 💬-discussion FAQ set, **3 out of 6 questions (~50%)** were basic “trust & verification” questions (correct token, correct CA, invest timing), crowding out product questions. --- ## 2) Usage Pattern Analysis (actual vs intended usage) ### How users are actually using elizaOS (from the feedback) 1. **Autonomous agents & scheduling**: desire for cron-like behavior; community building heartbeat/task scheduling plugins. 2. **Trading agents / on-chain risk analysis**: APEX Oracle v0.5.0 is purpose-built for Solana trading agents (OAR, Funding DNA, MEV toxicity) and ships an ElizaOS action `APEX_TOKEN_SCAN`. 3. **Persistent memory / “database-first inference routing”**: MEM0 integration being used as an always-on memory layer (“every response goes through the DB first”). 4. **Cross-framework portability**: skill-loader plugin converts OpenClaw SKILL.md into ElizaOS plugins—users are actively migrating skills across ecosystems. 5. **Infrastructure orchestration**: zeitgaist (Conway terminals + OpenClaw swarms + ElizaOS comms) points to “agent-driven DevOps” and VPS orchestration as an emerging use case. 6. **Prediction markets**: custom ElizaOS v2.0 integration for Milady with a Polymarket plugin (ElizaBAO). ### Intended usage signals (implied by project direction) - ElizaOS as a general agent framework with plugin registry, onboarding to “first 100 testers,” and integrations (WhatsApp/Gmail/n8n) per weekly summary. ### Emerging / unexpected use cases to support - **“Agent DevOps”** (VPS provisioning + swarm orchestration) is not a typical first-class agent framework story, but it’s showing up organically. - **“Memory as a gateway”** (MEM0 as base URL for inference) suggests users want memory to be a *default pipeline component*, not an optional add-on. ### Feature requests aligned with real usage - First-class **task scheduler / cron** primitive (or blessed plugin) aligned with both autonomy questions and heartbeat plugin activity. - A formalized **plugin maturity model** (tested/maintained/experimental) aligned with repeated “is this plugin viable?” questions. - Clear **deployment/version selection guidance** aligned with v2-develop vs alpha uncertainty and “wrong agent running” incident. --- ## 3) Implementation Opportunities (solutions per major pain point) Below: concrete, implementable steps (2–3 each), prioritized by **Impact / Difficulty**. ### A) “Production-ready guidance is unclear” (branches + plugin maturity) 1. **Publish a “Release Channels & Stability” doc page** (Impact: High / Difficulty: Low) - Define: `alpha` = breaking changes expected; `v2-develop` = integration staging; specify “recommended for production” criteria. - Include a decision table: “If you need X (stability/features), choose Y.” - Similar pattern: **Node.js LTS vs Current**, **Kubernetes release channels**, **Rust toolchains (stable/beta/nightly)**. 2. **Add “Plugin Readiness Badges” in the registry** (Impact: High / Difficulty: Medium) - Badges: `experimental`, `community-supported`, `maintained`, `security-reviewed`, `tested`. - Require minimal metadata in plugin submissions (test status, known limitations). - Similar pattern: **Homebrew formula caveats**, **VSCode marketplace verified badges**, **CNCF sandbox/incubating/graduated** (adapted). 3. **Pin a “Known-Good Stack” reference build** (Impact: Medium-High / Difficulty: Medium) - A locked version set of core + bootstrap + 5–10 popular plugins (including tasks, memory). - Ship as a template repo + CI to ensure it stays green. --- ### B) Scam bots harming onboarding + unanswered starter questions 1. **Harden Discord onboarding flow** (Impact: High / Difficulty: Low–Medium) - Enable first-message quarantine: new users can only post in `#start-here` until verified. - Add CAPTCHA/verification (e.g., Captcha.bot) + aggressive link filtering for new accounts. - Similar pattern: common setups in large OSS Discords using **Wick / Sledgehammer / AutoMod**. 2. **Create an “Official Help Queue” mechanism** (Impact: High / Difficulty: Medium) - A single channel with a form-like pinned template (env, version, goal, logs). - Volunteers rotate “triage hour.” Mark threads as `answered` / `needs maintainer`. 3. **Auto-reply bot for first-time posts** (Impact: Medium / Difficulty: Medium) - Bot posts official links (docs, token verification page, getting started) and warns about DMs/scams. --- ### C) “Where do I contact the team?” + low clarity on support paths 1. **Add a pinned “Contact & Escalation” message in 💬-discussion** (Impact: High / Difficulty: Low) - “For partnerships: email / form; for security: security@; for support: GitHub issues / help channel; for token: official page.” 2. **Create a single “Start Here” landing page** (Impact: High / Difficulty: Medium) - One URL that answers: what is elizaOS, how to install, where to ask, what’s official. - Similar pattern: **Rust “Learn” page**, **Next.js “Getting Started” hub**. --- ### D) auto.fun “stuck balances” (money-impacting reliability issue) 1. **Publish an incident-style troubleshooting playbook** (Impact: High / Difficulty: Low) - “If balance is stuck: steps 1–6,” including what info to share for support. 2. **Add minimal status + error transparency** (Impact: High / Difficulty: Medium) - Show pending/queued states, last sync time, and a “resync” button if applicable. - Similar pattern: exchanges/wallets show “indexer lag” banners. 3. **Capture fixes back into a public thread** (Impact: Medium / Difficulty: Low) - Ask users like patatapicasa to document what solved it; convert to FAQ. --- ### E) “Wrong Milady agent running” (release/deployment correctness) 1. **Introduce “agent build provenance” display** (Impact: Medium-High / Difficulty: Medium) - Agent UI/metadata includes git SHA, config hash, plugin list, build time. 2. **Add environment separation + naming conventions** (Impact: Medium / Difficulty: Low–Medium) - `milady-prod` vs `milady-bsc-experimental`; prevent confusion and accidental promotion. 3. **Release checklist & promotion gates** (Impact: Medium / Difficulty: Medium) - Similar to CI promotion flows used in **GitHub Actions environments** or **Heroku pipelines**. --- ### F) Plugin architecture friction for scheduling/autonomy 1. **Bless a single task scheduling interface** (Impact: High / Difficulty: Medium) - Document “the one way” (plugin-bootstrap tasks) + examples. 2. **Ship an “autonomy starter plugin” officially** (Impact: High / Difficulty: Medium) - Incorporate learnings from heartbeat (quiet hours, error budgets, dynamic tasks). - Similar pattern: **Celery beat** (Python), **BullMQ repeatable jobs** (Node), **Quartz scheduler** (JVM). --- ### G) Token confusion (cross-chain + CA verification) 1. **Create an “Official Token Verification” page** (Impact: High / Difficulty: Low) - Lists official contract addresses per chain, last updated timestamp, links to explorers. 2. **Discord `/token` slash command** (Impact: High / Difficulty: Medium) - Returns official addresses + scam warning + “never trust DMs.” 3. **Pin token info in token-related channels and 💬-discussion** (Impact: Medium / Difficulty: Low) --- ## 4) Communication Gaps (expectations vs reality) ### Recurring expectation mismatches - **“Which token is correct?”** implies users expect a single canonical token; reality is **cross-chain**, and that nuance isn’t surfaced early. - **“How do I convert ai16z tokens?”** indicates users expect migration to remain available; reality: **migration window closed** (Arceon). - **“Is there a more active role-gated chat?”** suggests expectation of a hidden active contributor space; reality: community activity is “quiet right now.” - **“How do I implement cron/autonomy?”** indicates users expect autonomy to be first-class; reality: it’s emerging via plugins and not yet well-documented. - **“Where do I reach the team?”** shows expectation of an obvious escalation path; reality: not answered in-channel. ### Documentation/onboarding improvements to align expectations - Add to “Start Here”: - “Token & chains (official addresses)” - “Migration status” - “Choosing a branch/channel” - “How to schedule tasks (official path)” - “Where to contact team / support escalation” - Convert “frequently asked in chat” into a maintained FAQ, since the same questions are already repeating within a single day’s thread. --- ## 5) Community Engagement Insights ### Power users (and what they need) - **Meme Broker**: building significant infrastructure (zeitgaist) + multiple plugins (heartbeat, MEM0, skill-loader). Needs: visibility, integration guidance, clearer “blessed patterns,” and distribution channels for plugins/projects. - **Odilitime / Arceon**: acting as frontline support and trust anchors (token clarification, scam warnings, architecture guidance). Needs: tools to reduce repetitive answers (bots, pinned docs). - **Vlt9**: pushing advanced trading-agent analytics and asking for **5 devs** to stress test. Needs: structured tester recruitment + a feedback loop that captures win-rate impact. - **DorianD**: contributing tokenomics strategy ideas; needs clear “where proposals go” and what is actionable vs speculative. - **Jin**: producing Cron Job updates; needs a reliable source of “dev updates” and a canonical changelog feed. ### Newcomer questions indicating onboarding friction - “How do I get started?” (unanswered due to scams) - “Which branch should I use?” - “Which token is correct?” - “Where do I contact the team?” - “Is there a more active chat?” ### Converting passive users into contributors - Launch a lightweight **“Contributor Onramp”**: - curated `good first issue` list - weekly office hour for plugin authors - “adopt a plugin” program (maintenance roles) - Spotlight community projects (zeitgaist, APEX Oracle plugin, MEM0 plugin) in a monthly demo call or in Cron Job’s planned dev segment. --- ## 6) Feedback Collection Improvements ### Effectiveness of current channels - Discord is capturing real friction quickly, but: - issues are **unstructured** - answers get buried - scams disrupt legitimate support - resolutions (e.g., auto.fun stuck balance fix) are not retained ### Improvements for more actionable feedback 1. **Add a structured Discord intake template** (bug/feature/support) and require it in help channels. 2. **Mirror high-severity Discord reports into GitHub issues** via a maintainer/bot (especially anything involving funds: auto.fun). 3. **Create a short monthly survey** (top friction points, version used, plugins used) and publish results to close the loop. ### Underrepresented segments (missing feedback) - Non-Web3 users (most visible feedback is token/trading oriented). - Teams building business workflows (despite weekly summary noting WhatsApp/Gmail/n8n integrations, no direct user feedback here). - Operators running agents in production (reliability/latency/observability feedback is sparse, except auto.fun). --- ## Prioritized High-Impact Actions (next 2–4 weeks) 1. **Ship a “Start Here” hub + pinned Contact/Escalation + Token Verification page** (reduces repeated questions, mitigates scams, improves trust). 2. **Implement stronger Discord anti-scam onboarding (verification + quarantine + official auto-replies)** (protects newcomers; prevents support derailment). 3. **Publish “Release channels & plugin readiness” guidance + add plugin maturity labels in the registry** (unblocks production adoption and reduces rework). 4. **Create an auto.fun stuck-balance playbook + visible status/diagnostics** (addresses the highest-severity reliability issue in the snapshot). 5. **Bless/standardize task scheduling via plugin-bootstrap tasks + provide an official autonomy example** (aligns with real usage: cron/autonomy demand and the heartbeat plugin work).