Product and industry glossary

Review a specific need, platform and interaction against current feature information.

Listening tells you which accounts are already talking, and about what.

The blockers people post about during setup are the shortest path to a better activation definition.

Inspect attribution, task context and the available outcome. Agent activity does not by itself establish task success or representative adoption.

Prompt Universe tracks the prompts buyers ask and shows whether your product appears in each answer.

Never ask for one in a public thread, and never include one in a draft reply.

Review happens in the full-screen review view, where the draft, the citations, and the reasoning sit together.

Assignment plus handoff covers most of what a ticketing system does for a listening queue.

Most attribution models cannot see a GitHub discussion. That is a gap in the model, not a gap in the influence.

It makes public conversation a leading indicator of a deal, not a lagging one.

Announced poorly, it is the fastest way to lose trust. Listening shows you the fallout within hours.

In Insights these land in the sales lane with the post attached, not in a lead list.

It needs evidence, and listening supplies it: the exact questions people ask before they have a name for the problem.

A good changelog answers the question before the thread gets written.

A draft without a citation is a guess. Reviewers check citations before approving.

Ears Cite contacts the authors of cited sources and asks them to include your product where it fits.

It is the difference between a team that reads conversation and a team that learns from it.

Your loudest supporters are visible in the queue before they appear in a CRM.

Every paid plan includes it. Starter tracks 3 rivals, Growth 5, Enterprise 15.

Tested by results, not by views: does it produce threads, signups, or replies worth having?

It works from GitHub signals only, so the evidence is a repo you can open and check.

A test that fails only in CI needs the runner, environment and failure details.

Only compare it within a channel. A thread reply and a paid ad rarely produce the same lead.

Check the exact game, platform combination and release documentation before answering.

Listening work is cheap per lead, which is why teams use it to bend blended CAC.

A support-tool discussion may describe an administrator workflow or an end-customer problem.

Public developer conversation is the visible part of that funnel, which is why teams mine it.

Keep the source, destination and failing step attached to an integration report.

A good public reply deflects the same question from everyone who reads it later.

A public complaint cannot establish delivery performance without service evidence.

Being a dependency is why a broken upgrade becomes a public event.

Complaints about DX surface in public long before they reach a support ticket.

DevRel teams are the daily users of a listening queue: they answer, teach, and escalate.

The channels and the vocabulary differ from consumer social, so the query logic and the scoring differ too.

Discussions are where the design questions live, and where docs gaps get exposed.

Ground Truth reads your own docs so a draft says what you actually published.

Nothing leaves the workspace unless a person approves it. There is no auto-post.

Read runtime, region and network constraints before comparing performance claims.

A clear escalation path is why a reply lane can include junior staff.

A report needs the device revision and firmware version to be reproducible.

Older material stays out of the queue, and the original published date is preserved rather than the crawl date.

Review the source and reproduction details before deciding whether the obstacle is a defect, a documentation gap or a mismatch with the use case.

Useful as a frame, misleading as a description of how developers actually decide.

Teams use it to plan docs, comparison pages and third-party coverage that models cite.

Each motion needs a different question from the queue: blockers, budget signals, or integration requests.

Review the claim, its scope and supporting references. Missing evidence remains unverified; a finding is not proof of a product defect.

High variance, high stakes: a thread can define a month of perception.

Used when support owns a bug report or sales owns a buying signal, so nobody re-reads the thread from scratch.

Evaluate the flexibility alongside the integration and operating work required.

Non-negotiable here: the model drafts, a person sends.

Conversation sharpens it: who asks the questions that turn into activation.

Compare the actual workload, model and operating constraints before interpreting a performance claim.

Keep the trace. A number with no trace is a claim.

It is the first screen after signing in, and the place most of the team works from.

Inspect the setup before attributing missing telemetry to the monitoring product.

Conversation intent is different: it names the person, the problem, and the words they used.

Check whether application teams use the workflow, beyond installing a portal.

An issue is a bug report and a public test of how you handle one.

The first 48 hours of conversation after a launch is the fastest feedback you will ever buy.

Pair it with CAC. A cheap lead that never activates is expensive.

A public post is not automatically an MQL. It becomes one when a person decides the fit is real.

Use medians for queues. Averages hide the long tail of weekends.

Everything in Insights is a mention. It carries a source, an author, a published date, and a link back to the original.

Quote the posts that each pillar claims to answer, or the house is fiction.

Migration questions are buying signals with a deadline attached.

Above 100 percent means expansion outweighed churn. Public complaints are an early warning for the down part.

A report needs engine versions, network conditions and the observed behavior.

A helpful public reply is nurture that costs nothing and lasts for years.

Public objections are the cheapest research available, and they repeat in the same words.

Assign it explicitly. Unowned items are the ones that quietly rot.

The honest way to credit listening work: name the deal, name the touch, state the contribution.

Playbooks are what make a drafted reply sound like your team rather than a model.

Listen for the alternative people name when they describe why they left something. That is your real competitor.

Listening feeds this motion directly: the blockers people describe are the next onboarding fix.

Use public questions, recommendations and implementation reports to form hypotheses. Validate them with retention, repeat usage, customer research and commercial evidence appropriate to the product.

A developer stuck mid-POC is the highest-value person in your queue.

A contributor's pull request is the highest-intent signal a project can get.

Fan-out queries show which sub-questions your content has to answer to be included.

A queue needs an owner and a rank. Without both it becomes a backlog.

Subreddit threads carry the before-you-buy doubt your docs never see.

It is what keeps a queue readable when the underlying search returns hundreds of results.

Provider comparisons need the network, operation and request requirements.

Context Buzz reads repos to see how your SDK is actually imported and configured.

Short cycles beat thorough ones that never finish. Most teams run it daily.

Watch which RFCs attract strangers with strong opinions. That is unmet demand.

Turn your best replies into runbooks so the answer stops depending on one person.

Good listening shortens it by removing the objection that was quietly blocking the deal.

Conversation-sourced leads often skip MQL status entirely, which is why teams track them separately.

SDK complaints cluster tightly: types, retries, timeouts, and version support.

Self-host demand is a compliance and procurement signal, not a feature request.

Competitor Signal scores sentiment from the user's point of view, and shows the posts behind the number.

Teams set one for bugs and buying signals, and let everything else run on a longer clock.

It shows up as unprompted questions and setup threads from a single domain or team.

Useful as a trend line, weak as a target, because it counts mentions rather than outcomes.

Ranking is the whole product. A queue of everything is a queue of nothing.

Keep the identity provider and tenant configuration with a login integration report.

Most listening tools stop at a dashboard. EarShots is built to end at a draft a person approves.

Review the user workflow, administrative needs and integration requirements separately.

Failures are counted and retried, and the source list shows what is degraded rather than silently empty.

Treat them as reach. A dependency in a real repo is closer to proof.

Your performance and Competitor insights use the same boxes, so the two are easy to read side by side.

It starts from real arguments people are already having in public.

Reported as a median in Stats, because a single viral thread can wreck the average.

Traces are how you audit a bad answer instead of guessing where it went wrong.

Jev ranks and labels incoming mentions first. A person confirms or overrides the call.

Fixed windows beat constant checking, and they make response time reportable.

It explains why a documented fix does not work for a specific poster.

A public allegation requires investigation; it is not confirmation of a vulnerability.

Review the event, delivery and retry rules against the integration documentation.

Compare cohorts by where the deal started, so a listening-sourced deal is not judged against inbound form fills.

Compare tools against a defined workload before interpreting a benchmark.

Workspaces can be renamed. Nothing crosses the boundary between two of them.