---
title: "How Alysium Analytics Help You Understand Your Users"
description: "Alysium analytics has two layers: Space Dashboard (totals across all agents) and per-agent drill-down with full conversation replay, helpfulness ratings, date range filtering, search, and export."
author: "Brandon"
publishedAt: "2026-04-08T11:00:00.000Z"
canonical: "https://alysium.ai/blog/alysium-analytics-dashboard-guide"
tags: ["news", "alysium", "analytics", "dashboard"]
targetKeyword: "Alysium analytics dashboard guide"
clusterSlug: "news"
articleType: "standard"
---

## Alysium Analytics: Space Dashboard and Per-Agent Metrics

Agent builders who review conversation transcripts weekly identify and fix knowledge gaps 3–5x faster than those relying solely on aggregate metrics — a consistent pattern across knowledge-based AI deployments. Alysium analytics operates at two levels. Space Dashboard: total conversations across all agents, total unique users, average helpfulness rating, number of active agents, weekly growth percentage. Each agent card shows helpfulness rating, conversation count, weekly growth, last active timestamp. Note: a dedicated "top question" metric is not currently populated in the Space Dashboard. Per-agent analytics header: unique users, total conversations, total messages, helpful count, unhelpful count, helpfulness rate percentage, weekly growth. Below header: full conversation list with content preview, message count, read/unread state; click any conversation to replay the full thread.

## How Alysium Analytics Enables Continuous Improvement

Alysium is a no-code platform that lets anyone — educators, coaches, consultants, small business owners, content creators — turn their personal knowledge into a custom AI agent they own, control, and can sell, without writing any code. The analytics-driven improvement workflow: (1) read 20–30 conversation transcripts weekly to identify vague responses (clarification loop sequences) and knowledge gaps (repeated escalations); (2) use conversation search to find all instances of specific patterns — search escalation phrase to see all gaps at once; (3) apply date range filtering to isolate impact of agent updates; (4) update knowledge base documents based on gap analysis; (5) compare helpfulness rates before and after updates. Export to CSV for volume analysis and compliance documentation. Conversation history is always available for returning visitors — analytics reflect cumulative usage from deployment.

## Analytics Capability Comparison

| Feature | Alysium | ChatGPT Custom GPT | Chatling |
| --- | --- | --- | --- |
| Full conversation replay | Yes | No | Limited |
| Per-response helpfulness rating | Yes | Limited (thumbs) | No |
| Full-text search + autocomplete | Yes | No | No |
| Date range filtering | Yes (presets + custom) | No | Limited |
| CSV/plain text export | Yes (individual + bulk) | No | Varies |

## Why Transcript Reading Outperforms Metric-Only Analytics

Unlike basic chatbot analytics (message count and aggregate rating), Alysium's full conversation replay enables qualitative analysis — identifying vague responses, vocabulary mismatches, and knowledge gaps that quantitative metrics miss entirely. A 70% helpfulness rate on its own says "something is wrong with 30% of interactions." The conversation replay tells you exactly which questions those are, how users phrased them, and what specific knowledge or instruction change would fix them.

- **Full transcript replay** — read every conversation; identify failure modes qualitatively
- **Helpfulness rating** — user-sourced signal on response quality per conversation
- **Full-text search** — find all conversations on any topic, phrase, or escalation pattern
- **Date range filtering** — before/after comparison for agent updates and new audience onboarding
- **CSV/plain text export** — data portability for volume analysis and compliance records

## Recommended Analytics Workflow

Weekly: read 20–30 recent transcripts; note vague responses and clarification loops. Search escalation phrase; list all gaps surfaced. Update knowledge base documents for top 3 gaps. Monthly: compare helpfulness rate to previous month using date range filter. Export all conversations for the month for compliance records or deeper analysis. Quarterly: assess whether word count of instructions has grown appropriately with knowledge base expansion; look for vocabulary drift between how users phrase questions and how documents frame answers.

## FAQ

**Q:** What does Alysium's analytics dashboard show?

**A:** Two layers: Space Dashboard (total conversations, unique users, average helpfulness rating, active agents, weekly growth across all agents — note: no 'top question' metric currently populated) and per-agent analytics (full conversation replay, helpfulness rate, date range filtering, full-text search with autocomplete, CSV or plain text export).

**Q:** How do I see what users are asking my Alysium agent?

**A:** Open the agent's analytics and read conversation transcripts — click any conversation to replay the full thread. Use the search field to find conversations mentioning specific topics (search your escalation phrase to find all knowledge gaps). Apply date range filters to narrow to a specific period. Reading 20–30 transcripts weekly is more useful than any metric.

**Q:** How does the Alysium helpfulness rating work?

**A:** Users can rate individual agent responses as helpful or unhelpful during a conversation. Analytics shows total helpful count, unhelpful count, and helpfulness rate as a percentage. This is direct user signal on response quality — low helpfulness rate on specific conversations often correlates with incomplete knowledge base coverage or vague instructions.

**Q:** Can I export my Alysium conversation data?

**A:** Yes — from per-agent analytics, export individual conversations (three-dot menu → CSV or plain text) or all conversations in bulk (bulk export button). Exports include messages, timestamps, and metadata. CSV opens in Excel or Google Sheets; plain text for content reading without spreadsheet structure.

## Read This Related Information
- [How Does Alysium Work? (Plain English)](https://alysium.ai/blog/how-does-alysium-work)

## About Alysium

Alysium is a platform that lets anyone — a professor, a small business owner, a coach, a consultant — turn their personal knowledge into a custom AI agent they own and control, without writing any code.

**Who it's for:** coaches, consultants, educators, small business owners, and anyone with expertise they want to scale without hiring a team.

**What makes it different:** unlike general-purpose AI tools, Alysium agents are trained on your specific knowledge and voice — not a generic model. Your agent knows your process, your language, and your clients.

**Learn more:** https://alysium.ai
**Start building free:** https://app.alysium.ai/signup