Posts
Community Operations Dashboard
A community operations dashboard for posts, comments, reports, and moderation.
Recipe Workspace
Preview the layout, understand the KPIs, copy the starter
Review the dashboard at a practical desktop ratio first, then use the KPI rationale, code starter, and AI IDE prompt below.
Live Recipe Preview
Community Operations Dashboard
A community operations dashboard for posts, comments, reports, and moderation.
Live Recipe
Community Operations Dashboard
A community operations dashboard for posts, comments, reports, and moderation.
Comments
Reports
Moderation
Posts trend
NivoPipeline Activity
EChartsPosts
Sample data
Comments
Sample data
Reports
Sample data
Watch List
Detail Table
Posts
Sample data
18,420
상태Comments
Sample data
34.8%
상태Reports
Sample data
$84.2K
상태Top
Four KPI cards
Middle
Primary trend and segment view
Bottom
Priority table and alerts
KPI Ingredients
Posts
Posts belongs in the primary row when an owner can act on it this week.
Alternative KPI: Posts segment
Comments
Comments belongs in the primary row when an owner can act on it this week.
Alternative KPI: Comments segment
Reports
Reports belongs in the primary row when an owner can act on it this week.
Alternative KPI: Reports segment
Moderation
Moderation belongs in the primary row when an owner can act on it this week.
Alternative KPI: Moderation segment
Code Starter
Copy component starter
const metrics = [
{ label: "Posts", value: "18,420", change: "+8.2%" },
{ label: "Comments", value: "34.8%", change: "+2.1%p" },
{ label: "Reports", value: "$84.2K", change: "+12.4%" }
];
export function CommunityOperationsDashboardPreviewCards() {
return <section className="grid gap-3 md:grid-cols-3">{metrics.map((metric) => <article key={metric.label} className="rounded-xl border border-zinc-200 bg-white p-4"><p className="text-xs font-bold text-zinc-500">{metric.label}</p><strong className="mt-1 block text-2xl font-black">{metric.value}</strong><span className="text-xs font-black text-emerald-600">{metric.change}</span></article>)}</section>;
}AI IDE Prompt
Paste into your AI IDE
Create a Community Operations Dashboard. Put KPI cards for Posts, Comments, Reports, Moderation, trend and segment charts, a priority table, and empty/loading/error states.
Decision System
Why this dashboard should exist before it is designed
AdSense-quality pages need original explanation, not only screenshots. This section documents the decision, data model, failure patterns, and implementation alternatives.
Operating decision
Community Operations Dashboard answers this operating question: Where do growth and quality risks appear together?. The primary row is not a vanity summary; it decides what an owner should do this week.
The recipe is designed for Community operator, Early product builders who need to choose data definitions, chart priority, and bottom-row actions quickly.
Data sources and event definitions
- Posts, comments, reports, moderation actions
Before implementation, define event names, owner, refresh cadence, and missing-data behavior for each source.
Required KPIs and removal rules
Posts
Posts belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Posts segment
Comments
Comments belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Comments segment
Reports
Reports belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Reports segment
Moderation
Moderation belongs in the primary row when an owner can act on it this week.
Alternative or removal signal: Moderation segment
Common failure patterns
Treat isolated movement in Posts as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in Comments as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in Reports as a signal to inspect data definitions or operating bottlenecks.
Treat isolated movement in Moderation as a signal to inspect data definitions or operating bottlenecks.
Alternative layout
For an MVP, keep Four KPI cards. As data matures, expand Primary trend and segment view into segment comparison or cohort analysis.
Implementation Blueprint
KPI audit protocol before implementation
Use this table before designing the UI. Without a formula, review cadence, and action trigger, a dashboard can look polished but still fail to support an operating meeting.
Posts
Posts = source event aggregate / comparison baseline. Start segmentation by Posts segment.
Daily morning
If Posts moves more than 10% week over week, inspect the causal segment and action table together.
Comments
Comments = source event aggregate / comparison baseline. Start segmentation by Comments segment.
Weekly review
If Comments moves more than 10% week over week, inspect the causal segment and action table together.
Reports
Reports = source event aggregate / comparison baseline. Start segmentation by Reports segment.
After campaign end
If Reports moves more than 10% week over week, inspect the causal segment and action table together.
Moderation
Moderation = source event aggregate / comparison baseline. Start segmentation by Moderation segment.
Monthly report
If Moderation moves more than 10% week over week, inspect the causal segment and action table together.
Event and table starter
When starting from an AI IDE, lock event and table names first. It makes generated components and queries much more consistent.
community_operations.viewed
Source event for Posts. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
community_operations.converted
Source event for Comments. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
community_operations.risk_flagged
Source event for Reports. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
community_operations.resolved
Source event for Moderation. Keep owner, occurred_at, segment_key, value, and source_system as baseline fields.
Weekly review sequence
- 1Separate whether the Posts movement is a real operating issue or short-term noise.
- 2Read it with Comments to narrow the cause to acquisition, conversion, quality, or throughput.
- 3Use the bottom table to choose one owner, one segment, and one action for this week.
- 4At the next review, adjust the layout based on recovery after the action, not on the same chart alone.
Frequently asked questions
Which KPIs should Community Operations Dashboard prioritize?
Community Operations Dashboard should prioritize Posts, Comments, Reports, Moderation. Keep Posts in the primary row only when an owner can act on it this week.
What data sources are required?
Posts, comments, reports, moderation actions are the baseline sources. Define event names, refresh cadence, owner, and missing-data behavior before implementation.
Can this layout be used for an MVP?
For an MVP, start with Four KPI cards and Primary trend and segment view. Add bottom tables and alerts when operating actions become clear.
Which metrics should be removed?
Remove metrics that cannot trigger an action within one weekly review cycle, have unstable definitions, or behave like vanity metrics without adjacent context.
How should the AI IDE prompt be used?
Use the prompt as a starting point, then add real field names, table names, state UI requirements, and accessibility requirements for your project.
Market Pattern
Marketplace-proven dashboard pattern, rewritten for Dashcipe
This section documents the public preview pattern behind the layout and how Dashcipe changes it into original KPI guidance.
Observed pattern
CRM and project templates often use dark sidebars, pipeline cards, activity feeds, and priority tables for dense workspaces.
Dashcipe adaptation
This recipe maps those ideas to bottlenecks, owners, and next actions for the vertical.
Originality guard
It extracts general CRM patterns visible in public previews without pixel-copying any original layout.
Free Resources
What you can use for free
Use the KPI logic, layout, code starter, prompt, Figma SVG, schema, and tokens directly.
Use this recipe when
- The vertical metrics are already roughly known
- You need to prioritize charts and tables quickly
Skip this recipe when
- No events or data definitions exist yet
- You only need a marketing landing page
Expert Notes
How a real operator should read these KPIs
These notes turn each metric into an operating decision, data source, and removal rule.
Community operator
- Why it matters
- Posts is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Posts as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Posts, comments, reports, moderation actions
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Community operator
- Why it matters
- Comments is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Comments as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Posts, comments, reports, moderation actions
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Community operator
- Why it matters
- Reports is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Reports as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Posts, comments, reports, moderation actions
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Community operator
- Why it matters
- Moderation is not a vanity number; it decides the next operating action.
- Failure signal
- Treat isolated movement in Moderation as a signal to inspect data definitions or operating bottlenecks.
- Data source
- Posts, comments, reports, moderation actions
- When to remove
- Remove it from the primary row if no owner can act within one weekly review cycle.
Recipe Flow
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