How to set up ai agents for insights from chats

• A Chatref account - each new account includes $50 in free credit with no expiry so you can test this without cost.
• Your graphic design software’s documentation - help-center articles, FAQ pages, feature guides, and any written material your users rely on. PDFs, URLs, or plain text all work.
• A mental list of frequent user questions - the “how do I export,” “what’s the brush engine doing,” “why are my layers locked” type queries your support team answers daily. This helps you validate that the agent is grounded properly.

You do not need to touch code or configure any infrastructure. The AI agent will answer from your content, and the insights engine starts working as soon as conversations happen.

1. Feed your content to the AI agent

From the Chatref dashboard, add the material that describes your graphic design tool. Point it at your public help site with a sitemap URL, upload PDFs of your user guides, or paste the text of your FAQ page directly. The system will process these into a knowledge base the agent references on every reply.

2. Configure the agent’s behavior

Create a new agent, give it a name your users will recognise (like “Design Tool Assistant”), and pick a primary color that matches your brand. Set a short welcome message - something like “Ask me anything about our design tool” - and, if your user base spans regions, enable the multilingual option. The agent is now ready to answer questions grounded in the content you provided.

3. Let conversations generate insights

Deploy the widget snippet onto your site or app (you’ll find the one-line snippet in the agent’s embed settings). As soon as users start asking questions, Chatref begins analysing the chat logs. It groups conversations into topics (“layer management,” “export settings,” “font licensing,” and so on), assigns tags, and compiles a digest. No extra toggle - insights are on by default once the agent is live. You can adjust the digest email frequency (daily or weekly) in your account preferences.

4. Review the insight dashboards

Open the Insights section of your dashboard. You’ll see a ranked list of top questions, common topics, and any conversations that triggered a human handoff. This is your product-improvement backlog, written by your users’ actual struggles.

Simulate a typical user session. Ask the widget questions your support team gets often, such as:

• “How do I export a design as SVG with transparent background?”
• “Why are my layers locked and how do I unlock them?”
• “What file formats does the brush engine support?”

The agent should reply with specific steps pulled from your documentation. Then, wait for the next insights cycle (or check the real-time topic tags on those conversations in the inbox). You’ll see those questions appear under their respective tags. Finally, confirm the digest email arrives in your inbox with a summary like “3 users asked about export settings this week - consider adding a dedicated export troubleshooting guide.”

If the answers miss the mark, revisit the content you added in step 1; the insights you see will point to exactly what’s missing.

• No conversations appearing in insights - The widget may not be embedded on a page that gets traffic, or users are not starting chats. Double-check the snippet is on your help center, order page, or in-app panel where users get stuck.
• Agent gives vague or off-topic answers - The source material likely doesn’t cover those questions. Use the insight tag “unresolved” or “escalated” to identify the gaps, then add the missing information to your content (e.g., a new FAQ entry about the exact export dialog).
• Digest email not arriving - Check your spam folder and the notification settings under your Chatref account profile. The email address tied to your login is where digests land.
• Topic tags seem too broad or too granular - This usually resolves once a few dozen conversations flow through. The engine refines grouping as it sees more data. If it remains unhelpful after a week, narrow your agent’s source material to focus on one product area at a time.

What causes insights from chats problems for Graphic Design Software?

Most issues stem from missing or outdated documentation. If the AI agent can only answer a subset of user questions - because the export, layer, or licensing docs are incomplete - the insight data will be lopsided, showing a heavy concentration of unresolved threads or generic tags. Additionally, if the widget isn’t placed where users get stuck (like inside the design canvas or on the format-export page), no conversations get logged, and insights stay empty.

How do I improve insights from chats for Graphic Design Software?

Keep your source content fresh by regularly feeding in new FAQ entries drawn from the top unanswered questions that appear in the insights dashboard. Refine your help articles to match the exact phrasing users type (e.g., if everyone asks about “transparent PNG export,” make sure that phrase exists in the docs). Also, check that the digest frequency captures enough volume to spot trends without flooding your inbox - weekly is often a good starting point for a design tool.