How to connect support analytics help to a chat widget

The Chatref widget, the knowledge base you feed it, and the built-in support analytics are a single connected system. You do not wire together separate analytics software – Chatref generates analytics directly from the conversations the widget handles.

• Widget to knowledge base – the widget loads an AI agent that answers questions only from the content you provide (your help guides, FAQ pages, or any Time Tracking Software documentation). Every answer is grounded in that material.
• Knowledge base to analytics – every chat the agent resolves creates an interaction record. Chatref automatically tags conversations by topic (e.g., “timesheet entry,” “approvals,” “billing”) and synthesizes those tags into insights. The same pipeline feeds lead capture and visitor session tracking.
• No external plumbing – there is no connector, API key, or analytics snippet to add. The analytics layer is inside the agent and starts working the moment the widget goes live.

Because the analytics are part of the agent’s conversation engine, the data stays accurate even as your knowledge base grows. When you update a help article, future conversations change, and the analytics reflect the new question patterns automatically.

The setup is a single flow – you are not configuring analytics separately; you are deploying the agent, and the analytics come with it.

1. Build your agent with your time tracking knowledge base
   In your Chatref account, create an agent and point it at your help center. Upload PDFs, add a sitemap, or paste URLs for your time tracking software knowledge base – timesheet guides, approval workflows, integration docs. The agent learns from your material alone.

2. Grab the website-widget snippet
   In the agent’s “Widget” tab, copy the embed code. It is one <script> tag, already origin-allowlisted for your domain.

3. Paste the snippet on your time tracking software website
   Add the snippet just before the closing </body> tag on every page where you want the chat bubble to appear – typically your help center, dashboard, and pricing pages. If you use a tag manager, deploy it through that.

4. Test the widget
   Open a page on your site and click the Chatref bubble. Ask a real question – “How do I bulk-edit timesheets?” – and confirm the agent answers from your own content. The test conversation gets tagged and counted just like a real one, so you will see it in analytics right away.

5. Access support analytics
   Go back to Chatref, open the agent’s “Inbox” or “Insights” view. You will see:

   • Conversation tags, automatically assigned by topic
   • Top questions list (frequency-ranked)
   • Visitor sessions and lead captures from the widget
   • Insight cards that tell you what to fix or document next

No extra step enables analytics – they are live from the first chat.

End users (employees or managers logging time) see the embedded chat bubble on your site. They type a question – “Why is my timesheet locked?” – and get a direct, sourced answer pulled from your knowledge base. The experience is fast, conversational, and stays inside the chat; there are no dead-end links to a search page.

Operators (the support and ops team) see the analytics output:

• Conversation tags – chats labeled automatically (e.g., “bulk edit,” “approvals,” “export”). You can filter the inbox by tag to spot a sudden spike in a particular issue.
• Insights – the system surfaces recurring questions and suggests what to improve. Example: “8 users this week asked about project permissions – consider expanding that guide.”
• Lead capture – if a visitor asks about pricing or a trial, the widget can collect their details and log them as a lead, with the conversation context attached.
• Visitor session analytics – you see how many sessions started, which pages triggered the chat, and whether the agent resolved the conversation or escalated it.

All of this feeds directly into your support analytics without a separate dashboard connector. For a time tracking software website widget, this means you know exactly which parts of your product generate the most confusion – and you can fix the underlying knowledge base content in response.

Widget does not appear on the site Check that the snippet is placed inside the <body> and that the domain is whitelisted in the agent’s widget settings. If you use a Content Security Policy, allow scripts from https://widget.chatref.ai. Clear your browser cache and reload.

Analytics show no conversations despite the widget working Chatref tags conversations only when the agent actually answers. If users are not receiving a reply, the agent may not have enough matching content. Add more precise articles to the knowledge base – for instance, include a page that directly addresses the question you are testing. Open a test chat yourself and verify the agent responds; that conversation will appear in analytics within a few seconds.

Insights or tags seem inaccurate Auto-tagging learns from the content you provide. If inaccurate, check that your help articles use clear, distinct section headings and that each topic (timesheets, approvals, reporting) has its own dedicated page. The more structured your time tracking software knowledge base, the more precise the tagging.

The widget lags or causes layout shifts If your site loads many third-party scripts, the widget may take a moment to render. The snippet loads asynchronously, but you can move it higher in the page if needed. Avoid wrapping the snippet inside other JavaScript that delays execution.

Lead capture or session tracking not working Confirm the “Lead capture” toggle is enabled for the agent. Visitor session analytics are on by default. If you are testing from a corporate VPN or ad blocker, these may block the analytics endpoint – test from a clean profile.

What causes support analytics problems for Time Tracking Software?

The most common issues are: a knowledge base that does not cover real user questions, so conversations get empty replies and produce no data; missing or incorrectly placed widget snippet that prevents chats from starting; and content that mixes too many topics into one page, making automatic tagging less reliable. Finally, over-reliance on generic help articles (instead of time-tracking-specific workflows) leads to unhelpful answers and low-resolution analytics.

How do I improve support analytics for Time Tracking Software?

Start by auditing your knowledge base – fill gaps around timesheet adjustments, billable vs. non-billable tracking, and approval chains. Make sure each article focuses on a single task, which sharpens auto-tagging. Then monitor Chatref’s insights regularly and act on the “top questions” list: update the article, create a new one, or adjust the UI. Over time, better content produces better answers, which in turn generates cleaner, more actionable analytics.