SleekView Charts for MyAI Chatbot: conversation dashboards
MyAI Chatbot stores each visitor conversation as a row in its own table with messages, intents, satisfaction signals, and a session identifier. SleekView Charts reads those rows and groups them by intent, day, and source page to render configurable chart cards on a single WP Admin screen.
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Reporting that follows the MyAI Chatbot schema
MyAI Chatbot keeps a tidy custom schema. The conversation table records session_id, user_id, start_time, end_time, and aggregate metadata like message count and resolution flag. The message table holds conversation_id, role (user or bot), content, and created_at. Settings live in wp_options under the plugin's prefixed keys, and each conversation is attributed to the visitor session.
The default MyAI Chatbot admin screens cover individual conversation review well, but the cross-cutting weekly questions live elsewhere. "How many conversations happened last week, and how does that compare to the week before?" "What is the resolution rate, and which pages drive the most chats?" "Which intents are the most common, and which are dragging satisfaction down?" Each lives in a separate corner of the admin rather than on one dashboard.
SleekView Charts maps the MyAI tables to chart cards so the recurring questions become one screen. A Number card counts conversations this month, a Donut splits resolution status, a Bar ranks top source pages, and an Area plots conversation volume per day. Cards refresh as new conversations end, so the dashboard stays current without a manual rebuild before the weekly support standup.
Workflow
Build a MyAI chatbot dashboard in four steps
Map the MyAI tables
Pick a chart type per question
Set groupBy and aggregation
Save and pin the dashboard
Sample dashboard
Charts you can build from MyAI data
Conversations this month
Count
Resolution status mix
Count
group by resolution_status
Top source pages
Count
group by source_url
Daily conversations
Count
group by start_time
Comparison
Default MyAI admin vs SleekView Charts
Default MyAI admin
- Conversation list covers individual chats but not week-over-week conversation volume
- No cross-tab dashboard combining resolution mix, top source pages, and daily volume
- Per-page conversation breakdowns require filtering the list one URL at a time
- Average response time and average message count are not surfaced as KPIs anywhere
- Time-series charts of conversation activity over the trailing 30 days are not built in
SleekView Charts
-
One dashboard combining the
conversationandmessagetables andwp_users - Donut and Bar cards for resolution status and per-page distribution
- Area and Line cards for daily conversation volume and rolling trends
- Satisfaction score and message count usable as chart aggregation columns
- Cards refresh as MyAI writes new rows, so the board never goes stale
Features
What SleekView Charts gives you for MyAI Chatbot
Conversation KPI cards
Total conversations this month, resolution rate this week, average messages per chat: Number cards surface the figures support leads normally rebuild in spreadsheets every Monday before the standup with the team kicks off.
Resolution distribution
Donut and Bar cards render the resolution status mix and top source pages, so support health and escalation questions answer themselves at a glance instead of requiring per-conversation drill-down through the admin.
Volume and engagement trends
Area and Line cards over the trailing 30, 60, or 90 days surface conversation velocity and satisfaction decay, the long-running patterns that drive next-quarter chatbot training and content updates.
Audience
Who builds MyAI dashboards with SleekView
Support leads
Daily standup dashboard: resolution mix, top intents, recent conversation volume, and last week's average satisfaction on one screen. Doubles as the monthly review with the operations lead.
Operations
Coverage dashboard tracking abandoned and escalated counts as trend lines. Spot bot failure modes the week they start, not the month after the customer complaints arrive in the inbox.
Marketing
Source-page dashboard pivoting conversation source_url into a Bar card. Compare landing pages, blog posts, and product pages by chatbot engagement and downstream resolution rate.
The bigger picture
Why MyAI Chatbot teams need a saved dashboard
Teams running MyAI Chatbot at scale spend more time stitching reports than they should. The plugin produces excellent per-conversation analytics, but the cross-cutting weekly questions live in screens that need to be visited individually and recombined in a head or a spreadsheet. Conversation volume by source, resolution mix, top intents, weekly satisfaction trend: each lives in its own corner of the admin.
SleekView Charts collapses those questions onto one dashboard that refreshes as MyAI writes new conversations. A support lead pins the dashboard in the WordPress admin and checks it every Monday morning. An operations lead watches the resolution-mix Donut for escalation creep.
A marketing lead breaks conversations down by source page. The data was always there in the conversation and message tables; the dashboard makes it operational rather than ad-hoc.
Questions
Common questions about SleekView Charts for MyAI Chatbot
No. The conversation viewer stays in place and remains the right place for individual chat inspection and quality review. SleekView Charts adds the cross-cutting weekly dashboard the default screens do not assemble, so the two layers complement each other rather than competing for the same screen real estate inside admin.
 Yes. The source_url column on the conversation table is a natural groupBy dimension. SleekView pivots URLs into a Bar card so marketing leads spot which pages drive the most chatbot engagement and which content gaps the bot is being asked to plug for visitors arriving from those pages.
 Yes. The message table includes a timestamp for each role, so average response time and average bot message length are aggregation columns on a Number card. Support leads watch response time as a quality signal and message length as a coherence signal across the chosen window.
 Yes. Conversations attributed to wp_users.user_id can be filtered by role, and anonymous sessions can be filtered out of any chart card. That separates customer-support traffic from internal-staff testing on the same dashboard without rebuilding the layout for each audience.
 Yes. Aggregations run on the indexed columns MyAI already maintains on the conversation and message tables, so sites with thousands of conversations render charts in seconds. The Charts engine uses pagination and indexed joins rather than scanning the full message payload on every render of the chart card.
 Yes. Each chart card exposes its underlying conversation row set, which exports to CSV with the active filters applied. Operations leads hand the CSV straight to the quarterly review without round-tripping through a spreadsheet rebuild, and support leads use it for staffing conversations with leadership.
 Each subsite has its own MyAI conversation and message tables, and SleekView Charts reads the current subsite's data by default. Network-wide dashboards can be configured explicitly when reporting needs to span multiple subsites, with the join layer joining the per-site tables into a single network view.
 Yes. Independent Analytics stores per-visitor data in its own tables and SleekView can blend that with the MyAI conversation data on shared identifiers. The combined dataset lets a single dashboard show traffic and chatbot engagement side by side rather than across two browser tabs in the admin.
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