HeyTappr for
Ai intent matching from the user’s own words
Users don’t browse a help menu — they just ask. Server-side ai matches the question against your team’s approved guides, using live page context, and starts the right walkthrough automatically. No menus, no second click.
Questions in plain language
Users type or ask in their own words, however they phrase it. The AI maps that phrasing to the customer intents your team defined for each guide, so nobody needs to know your feature’s official name.
Page context sharpens the match
Matching runs server-side and takes the live page into account, alongside the URL patterns your team set per guide. A question asked on the billing page resolves against what is relevant there.
Matching is bounded by your catalog
The AI only selects from guides your team approved and published — it never invents an answer. If nothing matches, the question is logged as unanswered demand so you know which guide to write next.
See it in your product
A demo takes fifteen minutes: HeyTappr guiding real users through a real interface.
Questions teams ask
- Is this a chatbot that generates its own answers?
- No. The AI only chooses which of your approved, published guides fits the question. Every word the user then hears is copy your team wrote — nothing is improvised.
- What happens when no guide matches a question?
- The question is recorded as unanswered demand in the needs-attention list, filterable by date range and platform. Your team can author a new guide in the console and publish it to cover the gap.
More use cases
Or just email us and see it in your own product.