Intercom Certification flashcards
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- Deflection rate
- The share of conversations Fin handles without escalating to a human, calculated as Fin-resolved conversations divided by all conversations Fin handled. It is tracked separately from customer satisfaction scores.
- Launch sequence
- Connect content sources, configure Fin's tone and escalation rules, test in a sandbox, then enable one channel at a time, starting with the highest-volume repetitive channel.
- Fin knowledge scope
- Fin answers only from content sources you explicitly connect, such as articles, snippets, and external sources. Anything absent from those sources is treated as unknown rather than guessed.
- Ramp period
- The interval after launch during which Fin's deflection and resolution metrics are still stabilizing as it encounters real conversation volume. Early numbers should not be treated as final performance.
- AI-first helpdesk
- A support model where Fin is the default first responder and human teammates handle escalations. Routing, escalation triggers, and knowledge content are designed around that division of labor.
- Snippets
- Short reusable answers Fin can draw on, best suited to compact policy facts such as shipping windows, pricing, or return rules that do not justify a full help center article.
- Workflows versus Fin
- Workflows execute deterministic rules like tagging, assignment, and timed actions. Fin handles open-ended natural language questions. Choosing the wrong tool produces brittle automation or unpredictable answers.
- Escalation triggers
- Explicitly defined topics or conditions that must always route to a human, such as billing disputes, legal requests, or churn risk. They are encoded in Fin instructions or workflow rules.
- Content hygiene rule
- Duplicate or contradictory articles degrade Fin's answer accuracy, so overlapping sources must be consolidated and conflicts resolved before a source is connected or republished.
- First response time
- The elapsed time between a customer's first message and the first human reply. On AI-first helpdesks it is measured separately from Fin's instant initial response.
- Backlog by inbox
- Unresolved conversation counts grouped by inbox rather than aggregated overall. This view reveals which team or queue is actually understaffed and where escalations are accumulating.
- Quality sampling cadence
- The scheduled rate at which closed conversations are reviewed against a rubric. Fin-handled conversations should be sampled on the same cadence as human-handled ones.
- Staffing forecast rule
- Forecast conversation volume by channel and day of week, then map it to coverage. Fin deflection lowers but does not eliminate peak load, so coverage planning still applies.
- Escalation ownership
- A manager decision defining which topics Fin must always hand off and which team inbox receives each type of escalation. Agents follow it rather than choosing ad hoc.
- Notes versus replies
- Notes are internal and visible only to teammates, while replies are delivered to the customer. Confusing the two leaks internal commentary or hides information from the customer.
- Snooze versus close
- Snoozing sets a time for the conversation to reopen, keeping it pending. Closing ends the conversation and, where enabled, can trigger a customer satisfaction survey.
- Handoff transcript
- The conversation history passed to a human when Fin escalates. Agents should read it before replying so customers are not asked to repeat information they already provided.
- Fixing wrong Fin answers
- When Fin answers incorrectly, the correction is made in the underlying article or snippet content, not by retraining a model or editing the conversation transcript.
- Optimization loop
- Review Fin's unanswered and low-confidence questions, add or correct the relevant content, then re-test the same questions to confirm the gap is actually closed.
- Content quality over volume
- Short, single-topic articles with clear titles resolve better than long pages covering many topics, because Fin can match a specific question to a specific source.
- Regression question list
- A maintained set of real customer questions that previously failed. Re-testing it after each content change confirms fixes hold and no earlier answer has broken.
- Baseline measurement
- Recording deflection and resolution figures before a content edit, so any later change can be attributed to the edit rather than to seasonality or volume shifts.
- Snippet promotion rule
- Use a snippet as the fastest fix for a single recurring question, then promote it to a full article once the question recurs at meaningful volume.
- Multi-question email threads
- Email messages often contain several questions at once. Fin should answer what it can from content and escalate the remainder rather than ignoring unanswered parts.
- Email threading
- Keeping Fin's reply inside the existing conversation thread so full history and context are preserved. Breaking the thread loses prior messages and confuses the customer.
- AI disclosure on email
- Stating in the email auto-reply that Fin is an AI assistant, along with how to reach a human. This sets expectations before the customer reads the answer.
- Email sender configuration
- Domain authentication and a valid reply-to address must be configured before enabling Fin on email, or replies may fail deliverability checks and land in spam.
- Fin Procedure anatomy
- A procedure defines its trigger and scope, required inputs, ordered steps, decision branches, and a clear completion or handoff outcome. Each step should reference specific content.
- Procedure branching fallback
- Every decision point inside a procedure needs an explicit path to a human when its condition is not satisfied. Without a fallback, Fin improvises at the branch.
- Procedure scope rule
- Build one narrow procedure per task, such as a refund eligibility check, rather than a single large procedure covering all billing topics. Narrow scope makes testing and review feasible.
- Sales qualification fields
- The predefined attributes Fin collects conversationally before handing a lead to a rep, typically intent, company size, and use case. They are defined before the conversation flow is built.
- Sales handoff triggers
- Topics Fin must never decide, including discounts, contract terms, and delivery dates. These route immediately to a sales rep rather than being answered from content.