SnatchBot provides visual chatbot flows, natural-language understanding, voice AI, omnichannel deployment, testing, and performance analytics. Strawberry can help a conversation designer inspect a flow, a support lead review failed intents, a product owner prepare release checks, and an analyst connect bot outcomes to the messages users actually sent.
01
Walk the conversation before users find the dead end.
A visual flow can look complete while a real user still reaches a loop, an unsupported question, or a handoff that offers no help. Strawberry can inspect the visible SnatchBot journey and prepare a release review around paths, fallbacks, sensitive intents, and channel differences.
02
Use failed intents as a product queue.
A failed intent is evidence about what users wanted but the bot could not understand or answer. Strawberry can group visible SnatchBot failures by language, wording, frequency, and business consequence so a team can decide what to train, clarify, or route to a human.
03
Check every channel before a bot change goes live.
The same flow can behave differently in a web widget, messaging channel, or voice experience because the user context and interaction constraints change. Strawberry can prepare a SnatchBot deployment checklist that identifies affected channels, changed paths, fallback behavior, and test cases.
04
Review new conversations every Thursday while they are still actionable.
Thursday captures enough fresh conversation data to reveal a recurring failure, while leaving time to adjust help content or escalation coverage before the next week. The SnatchBot check can prepare findings without publishing a flow, retraining an intent, or changing a production channel.
SnatchBot Strawberry