Performance Record: [PROJECT ID]
Per-piece metrics template: Tier 1/2/3, EQS tracking, 90-day summary.
Performance Record: [PROJECT ID]
[Working Title] Published: [DATE] | Primary venue: [Venue] Last Updated: [DATE]
This record accumulates performance data for a single published piece across its full lifecycle. Update at 30, 60, and 90 days post-publication. Feed signals to the Quarterly Review.
Publication Log
| Artifact | URL | Published | Platform |
|---|---|---|---|
| Primary article | [URL] | [DATE] | [Blog / LinkedIn / Trade pub] |
| LinkedIn post 1 | [URL] | [DATE] | |
| LinkedIn post 2 | [URL] | [DATE] | |
| LinkedIn post 3 | [URL] | [DATE] | |
| Newsletter mention | [Issue #N] | [DATE] | Newsletter |
Tier 1 — Reach
Lagging indicators. Context only — do not optimize for these. High reach + low engagement = distribution without resonance.
| Metric | 30d | 60d | 90d | Notes |
|---|---|---|---|---|
| LinkedIn post 1 impressions | ||||
| LinkedIn post 2 impressions | ||||
| LinkedIn post 3 impressions | ||||
| Blog page views | ||||
| Newsletter open rate (issue) | ||||
| Article shares (LinkedIn) |
Tier 2 — Engagement
Leading indicators. These predict future Tier 3 outcomes. Diagnose performance here.
LinkedIn Engagement Quality Score (EQS)
SSOT: EQS formula and metric weights are canonical in
PERFORMANCE_TRACKER.md. Reproduced below for reference — if weights change, update that file only.
EQS = (saves × 5) + (long_comments × 2.5) + (short_comments × 1) + (reactions × 1)
Metric weights source: LinkedIn algorithm research (GOV-007, 2025-2026) — see PERFORMANCE_TRACKER.md for full weight table and rationale.
| Metric | Post 1 | Post 2 | Post 3 | Notes |
|---|---|---|---|---|
| Saves | ||||
| Comments ≥15 words | ||||
| Comments <15 words | ||||
| Reactions | ||||
| Reposts with commentary | ||||
| EQS | — | — | — | Calculate above |
Blog Engagement
| Metric | 30d | 60d | 90d |
|---|---|---|---|
| Time on page (avg) | |||
| Bounce rate |
Notable Comments
Record any substantive LinkedIn or blog comments that signal audience intelligence — what they're saying, what vocabulary they use, what questions they're asking.
| Date | Platform | Name/Handle | Comment Summary | Audience Signal |
|---|---|---|---|---|
Tier 3 — Business Impact
Ultimate indicators. These lag Tier 2 by weeks to months. Do not expect Tier 3 in the first quarter.
| Signal | Date | Contact | Context | Outcome |
|---|---|---|---|---|
| Inquiry mentioning this piece | ||||
| Speaking invitation referencing this piece | ||||
| Referral citing this piece | ||||
| Proposal where this piece was used |
Audience Intelligence
Who actually engaged with this piece? Does it match the target audience?
Target audience for this piece: [From WSD — who was this written for?] Who actually engaged (observed): [Based on LinkedIn profiles of commenters and reactors] Unexpected audience: [Anyone outside the target who engaged substantially?] Audience signal for Persona update: [Anything that should update the relevant Audience Persona?]
Feedback Signals
Signals to feed back into the system:
Content Improvement Signal
What would make this piece more effective? - [ ] Opening hook weak — replace with [alternative] - [ ] Missing argument: [what the comments suggest was missing] - [ ] Wrong framing for target audience — [diagnosis] - [ ] Right argument, wrong channel — [where it should have been]
Topic Follow-Up Signal
What questions did this piece generate that warrant a follow-up piece? - [Question/angle not addressed] - [New topic identified from comment threads]
Pattern Signal
If this piece used a specific pattern (PATTERN-PRACTITIONER-ARTICLE-v1 etc.): Pattern used: [Pattern ID] Pattern fitness: [What worked / what didn't / what felt forced] → Feed this to Pattern Retrospectives at quarterly review
90-Day Summary
Complete at 90-day mark. This is the record that feeds the Quarterly Review.
Overall assessment: [HIGH / MEDIUM / LOW] engagement relative to investment Best-performing element: [Which post / which section of the article] Primary audience: [Who actually engaged] Tier 3 signals: [None yet / [Count] signals] Recommendation for quarterly review: [Invest more in this territory / Adjust framing / Discontinue topic cluster / Wait for more data]
Distribution Brief Reference
→ /projects/[PROJECT-ID]/DISTRIBUTION_BRIEF.md