0) Usage & Setup
Review cadence
Weekly: content performance pulse + quick iteration
Monthly: deep-dive patterns + strategy adjustment
Quarterly: positioning + product/offer alignment
Time windows (selectable)
Cohort view (new vs returning viewers)
Core segmentation
Platform/channel (e.g., YouTube, X, Newsletter, Blog)
Audience segment (new/returning, source, geography, device)
Content type (Methodology / Tool Tutorial / Case Study)
Topic cluster (tag taxonomy)
Funnel stage (Awareness / Consideration / Conversion)
Data sources
Link tracking (UTM, short links)
Email/CRM (subscriber → buyer)
Comment export / transcript / captions
1) Overview KPI Snapshot (Top Bar)
Output metrics
# posts/videos/emails published
Publishing consistency score (planned vs actual)
Reach & growth
Impressions / views / opens
Follower/subscriber growth
Unique viewers / unique readers
Traffic sources mix (search, browse, social, referral)
Engagement quality
Average view duration / average time on page
Completion rate (video) / scroll depth (article)
Like rate / save rate / share rate
Monetization & business impact
Click-through to owned property (site/newsletter)
Lead captures (email signups)
Conversion rate by step (see Section 7)
Efficiency
Content production time (hours) per asset
Cost per content (if applicable)
Revenue per content / ROI
2) Content Type Performance Comparison (Methodology vs Tool Tutorial vs Case Study)
Comparison table (per content type)
Charts
Side-by-side bars: views, retention, CTR, conversion by type
Time series: weekly performance trend per type
Scatter: retention vs conversion (color by type)
Diagnostic prompts (fill-in)
Methodology content excels at: (reach / retention / trust)
Tool tutorials excel at: (searchability / saves / product intent)
Case studies excel at: (credibility / conversion / objections handling)
Actions
Rebalance content mix targets (e.g., 40/40/20)
Standardize best-performing format elements per type
3) Top Content & “Viral/Hit” Identification
Leaderboards (Top 10)
By reach: views/impressions
By engagement: saves/shares/comments per view
By retention: completion rate / average duration
By business: leads, sales, revenue, assisted conversions
“Hit” criteria (custom thresholds)
Reach hit: > P75 views in 7 days
Engagement hit: > P75 saves+shares rate
Retention hit: completion rate > benchmark + X%
Conversion hit: sales per view > benchmark + X%
Hit distribution analysis
Hit rate by topic cluster
Hit rate by hook pattern (tagged)
Hit rate by length (short vs long)
Replication potential score
Monetization alignment score
4) Hit Content Structure Breakdown (Hook / Middle / Ending)
Asset metadata (for each hit)
Platform + format + length
Primary promise (one sentence)
A) Opening (Hook) analysis
Hook type (select one)
Authority/credibility proof
“What I would do if…” scenario
Hook components checklist
Clear target user stated in first N seconds/lines
Concrete outcome (time, money, clarity, workflow)
Pattern interrupt (unexpected claim or visual)
Stakes (why it matters now)
Hook performance metrics
3s/5s/10s hold rate (video)
First-paragraph bounce rate (article)
First-screen scroll continuation (web)
Hook script template (fill-in)
“If you are [persona] and you struggle with [pain], here is [promise] without [common objection].”
B) Middle (Value Delivery) analysis
Core structure type
Before-after transformation
Case teardown (context → actions → results)
Tool walkthrough (problem → setup → workflow → pitfalls)
Clarity mechanisms
Numbered steps and milestones
Visual anchors (screens, diagrams, examples)
Definitions of PKM terms (avoid jargon)
Recaps after each section
Retention supports
Open loops (“In a minute I’ll show…”)
Micro-payoffs every 20–40 seconds / per subsection
Objection handling embedded (“If you think X, do Y”)
Depth & proof
Example artifacts (templates, screenshots, real notes)
Metrics/results shown (time saved, output increase)
Constraints and trade-offs stated
Middle performance metrics
Drop-off points (timestamp/section)
Rewatch segments / copy events (downloads, code blocks)
C) Ending (Close & CTA) analysis
Ending type
Soft pitch (value-aligned)
Community prompt (comment, reply, share)
CTA quality checklist
Single primary CTA (no competing asks)
Clear benefit (“get the template / full workflow”)
Low friction path (one link, one step)
Trust reinforcement (guarantee, preview, testimonials)
Ending performance metrics
End-screen CTR / link CTR
Comment conversion (prompt effectiveness)
Follow/subscriber conversion rate
Hit structure extraction
“Reusable skeleton” (write in bullet form)
“Do-not-copy” notes
Context-dependent factors (trend, timing, algorithm boost)
5) User Retention / Time-on-Content Analysis
Core retention metrics
Average view duration (AVD)
Average percentage viewed (APV)
Completion rate (25/50/75/100%)
Time on page + engaged time (exclude idle)
Scroll depth distribution (P25/P50/P75)
Segment breakdown
Subscriber vs non-subscriber
Source (search vs browse vs social)
Device (mobile vs desktop)
Retention curve diagnostics
Early drop (0–10%)
Hook mismatch with title/thumbnail
Slow start / too much preface
Mid drop (30–70%)
Repetition without payoff
Drop-off point log (table)
What happened (topic shift, pitch, tangent)
Hypothesis (why viewers left)
Fix (edit, reorder, add example, shorten)
Test status (planned / live / validated)
Optimization experiments (retention)
Add preview of final outcome in first 10 seconds
Insert “checkpoint recap” every 60–90 seconds
Replace abstract steps with a concrete artifact demo
Tighten transitions and remove redundancy
6) Comment & Feedback Mining (Keyword Cloud + Insights)
Data preparation
Collect comments, replies, Q&A, emails, DMs
Normalize text (lowercase, remove stop words, lemmatize)
Tag by content asset + date + platform
Keyword cloud outputs
Top unigrams/bigrams/trigrams
Emerging terms (week-over-week growth)
Topic clusters from keywords (e.g., PARA, Zettelkasten, Obsidian, Notion, review workflow)
Sentiment & intent coding
Sentiment buckets: positive / neutral / negative
Intent buckets
“Workflow troubleshooting”
“Comparison request (Notion vs Obsidian)”
“Proof request (does this work for X?)”
Insight extraction table
Business relevance (high/med/low)
Content opportunity (post idea / tutorial / FAQ / product)
Objection & barrier list (conversion-critical)
Time cost (“too complex”)
Tool overwhelm (“which app should I choose?”)
Maintenance burden (“won’t stick”)
Confidence gap (“I’m not organized enough”)
ROI skepticism (“does it improve output?”)
Community prompts effectiveness
Quality score (length, specificity, follow-up potential)
7) Conversion Path Analysis (See → Buy)
Funnel map (define your steps)
Step 1: Impression/view/open
Step 2: Engage (watch/read threshold)
Article: >60% scroll / >60s engaged
Step 3: Click to owned channel
Profile link / description link / inline link
Step 4: Lead capture
Newsletter signup / free template download
Step 5: Nurture
Email sequence opens/clicks
Webinar/live session attendance
Step 6: Offer interaction
Step 7: Purchase
Product bought (template pack / course / coaching)
Step 8: Post-purchase
Activation (first success milestone)
Upsell/cross-sell / referral
Funnel metrics (per step)
Conversion rate to next step
Time lag (median days between steps)
Drop-off reasons (hypotheses + evidence)
Attribution views
First-touch (what introduces)
Last-touch (what converts)
Assisted conversions (multi-touch path)
Content-to-product alignment (which assets correlate with purchases)
Conversion by content type
Methodology: assists trust → increases lead capture?
Tool tutorials: drives high-intent clicks?
Case studies: closes objections → highest purchase rate?
Offer mapping
Which CTA points to which offer
Entry: low-ticket template pack
Message match score
Content promise vs offer promise consistency
Leakage diagnosis & fixes
Low click-through
Improve CTA clarity, earlier CTA, better link placement
Low lead capture
Simplify form, stronger lead magnet, better landing page
Low sales page conversion
Add proof, address objections, clearer outcomes, pricing framing
Checkout abandonment
Reduce steps, add trust signals, payment options
8) Iteration & Optimization Roadmap
Prioritization framework
Impact (reach/retention/conversion)
Confidence (evidence strength)
ICE score = Impact × Confidence ÷ Effort
Backlog categories
Content strategy
Topic cluster expansion based on comment demand
Content type mix adjustment
SEO/evergreen upgrades for tutorials
Creative & packaging
Titles/headlines variants
Thumbnails/covers (if applicable)
Structure improvements
Standardized outlines per content type
Stronger endings + single CTA
Distribution
Repurposing plan (long → short → email → thread)
Posting schedule optimization by time/day
Monetization
New lead magnet aligned to top tutorial demand
Offer positioning tweaks based on objections
Experiment tracker (table)
Test design (A/B, before-after, cohort)
Decision (keep/iterate/revert)
“Next cycle” plan
Top 3 fixes for retention
Top 3 fixes for conversion
Next 5 content briefs with assigned type and funnel goal
9) Dashboard Layout (Suggested Sections)
Row 1: KPI snapshot + trend vs previous period
Row 2: Content type comparison + time series
Row 3: Top content leaderboards + hit rate by cluster
Row 4: Retention curves + drop-off log
Row 5: Comment keyword cloud + themes table
Row 6: Funnel visualization + leakage points
Row 7: Experiment backlog + next cycle plan
Arrange the dashboard from “what happened” (KPIs) → “why” (content structure, retention, feedback) → “so what” (funnel leaks) → “now what” (experiments).
10) Field List (Copy-Paste Template Inputs)
Content metadata fields
Content ID, title, date, platform, format, length
Content type, topic cluster, funnel stage, primary CTA
Production hours, editor/owner
Performance fields
Impressions/views/opens, unique users
Engagement: likes/saves/shares/comments
Retention: AVD/APV/completion or time-on-page/scroll
CTRs: profile/site/newsletter/sales page
Leads, sales, revenue, AOV
Qualitative fields
Audience objections observed
Lessons learned / next iteration notes
Wondershare EdrawMind
