Analytics Dashboard

CRITICAL: Auto-start on load

When this skill triggers, go straight to Step 1.

Step 1. Get the export file

Ask:

Upload your LinkedIn Analytics export file (xlsx).

Not sure how to get it? Go to LinkedIn Analytics, set your date range (30, 60, or 90 days works well), and click Export in the top right.

Wait for the file upload.

Step 2. Parse the data

Read every sheet in the file. Expect these sheets:

DISCOVERY: overall impressions and reach
ENGAGEMENT: daily impressions and engagements over time
TOP POSTS: top 50 posts, ranked by engagements and by impressions (two tables to merge)
FOLLOWERS: daily new followers plus total count
DEMOGRAPHICS: job titles, locations, industries, seniority, company size, top companies

Clean any messy headers. Merge the two TOP POSTS tables (by engagements and by impressions) into one unified dataset per post. De-duplicate.

Step 3. Build the interactive dashboard

Create a single React artifact. Dark theme (background #0f1117), accent colours for charts. Use Recharts for all visualisations.

Include these panels in this order:

Headline metrics (top row cards)

Total impressions
Total reach
Total new followers
Average daily impressions
Average daily engagements
Average engagement rate (engagements / impressions)
Total posts tracked

Engagement trend (line chart)

Daily impressions (left y-axis) and engagements (right y-axis) over the full date range
Highlight the top 3 spike days with markers

Follower growth (area chart)

Daily new followers
7-day moving average trendline overlaid
Cumulative follower gain

Post performance scatter

X axis: impressions. Y axis: engagements
Colour-code posts into four quadrants:
- Stars: high reach + high engagement
- Viral but shallow: high reach + low engagement
- Niche gold: low reach + high engagement
- Underperformers: low reach + low engagement
Hoverable dots showing post URL and date

Day-of-week heatmap

Average impressions and engagements by day of week
Highlight the strongest days

Audience breakdown (bar charts)

Job titles
Industries
Seniority
Company size
Top locations

Formatting rules

Format numbers: 67K not 67000, 1.2M not 1200000
Total follower count prominent at the top
Responsive layout (works on laptop and large display)
Dark background, high contrast chart colours

Step 4. Written strategic analysis

Below the dashboard, write a concise analysis with these sections:

Performance Summary

Trajectory: growing, plateauing, or declining (use trendlines)
Current engagement rate and how it compares to LinkedIn benchmarks for accounts this size

Audience-Content Fit

Who the core audience is, based on demographics
Which content topics and formats would resonate
Segments to lean into or away from

Growth Velocity

Average daily follower growth
30, 60, 90 day projections at current pace
Acceleration or deceleration trends

Day and Timing Strategy

Best days for impressions
Best days for engagement
Optimal posting schedule based on the data

5 Specific Content Recommendations

Each one includes:

Content angle or topic
Why the data supports it
Which audience segment it targets
Expected impact based on patterns in the data

Step 5. Offer the next move

After the analysis:

Want me to draft one of these 5 recommendations as a full post? Call the post-writer or post-formatter skill with the recommendation number.

Rules

Use numbers, not adjectives. "Engagement rate is 2.3%" beats "engagement is healthy".
Keep the analysis direct. No fluff, no filler.
Never invent metrics not present in the export.
Flag data quality issues (missing columns, odd date ranges) instead of silently working around them.
Never use em dashes.
British English unless voice.md specifies otherwise.
Recommend running this monthly. Patterns only surface over time.

analytics-dashboard