8e937a5646
- Fix repeat-city travel placement: use stop indices instead of global city name matching so Follow Team trips with repeat cities show travel correctly - Add TravelPlacement helper and regression tests (7 tests) - Add alternate app icons for each theme, auto-switch on theme change - Fix index-out-of-range crash in AnimatedSportsBackground (19 configs, was iterating 20) - Add marketing video configs, engine, and new video components - Add docs and data exports Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
3.1 KiB
3.1 KiB
SportsTime Monday Growth Review Template
Use this every Monday. Timebox: 20-30 minutes.
1) Week Snapshot
review_date:
review_owner:
week_range:
headline: one sentence on how the week went.
2) KPI Scorecard (This Week vs Last Week vs Goal)
| Metric | This Week | Last Week | Delta | Goal | Status (Green/Yellow/Red) |
|---|---|---|---|---|---|
| Installs | |||||
| Cost (paid spend) | |||||
| CPI | |||||
Activation rate (install -> trip_saved) |
|||||
| Paywall view rate | |||||
Paywall conversion (paywall_view -> purchase_success) |
|||||
| New subscribers | |||||
| Weekly revenue | |||||
| D1 retention | |||||
| D7 retention | |||||
| D30 retention | |||||
| Shares per activated user |
3) Funnel Breakdown
| Step | Users | Conversion from prior step | Notes |
|---|---|---|---|
| Installs | |||
| First open | |||
| Onboarding complete | |||
| Trip options generated | |||
| Trip saved | |||
| Paywall viewed | |||
| Purchase started | |||
| Purchase success |
largest_drop_off_step:
suspected_cause:
fix_to_ship_this_week:
4) Channel Performance
| Channel | Spend | Installs | CPI | Activation rate | Purchase rate | Keep / Improve / Cut |
|---|---|---|---|---|---|---|
| App Store Organic | ||||||
| Apple Search Ads | ||||||
| TikTok Organic | ||||||
| TikTok Paid | ||||||
| Meta Paid | ||||||
| Creator/Influencer | ||||||
| Referral/Invite |
5) Experiments Reviewed
Experiment 1
name:
hypothesis:
change_shipped:
result:
decision: Ship / Iterate / Kill
Experiment 2
name:
hypothesis:
change_shipped:
result:
decision: Ship / Iterate / Kill
Experiment 3
name:
hypothesis:
change_shipped:
result:
decision: Ship / Iterate / Kill
6) Product + UX Issues
Top friction points from analytics, support, or user feedback:
1.
2.
3.
highest_priority_fix_for_this_week:
7) Content + Distribution Review
| Content Type | Published | Avg views | Avg CTR to store/site | Top performer | Next action |
|---|---|---|---|---|---|
| TikTok/Reels | |||||
| X/Twitter | |||||
| Reddit posts/comments | |||||
| Email newsletter | |||||
| Creator placements |
winning_content_angle:
angle_to_drop:
8) Decisions (Write Explicitly)
9) This Week Plan (Top 3 Priorities Only)
10) Owner + Deadline Grid
| Task | Owner | Deadline | Success metric |
|---|---|---|---|
11) Risk Watch
biggest_risk_next_2_weeks:
mitigation:
12) Weekly Close Checklist
- KPI table filled with real numbers
- One funnel fix selected and scheduled
- One distribution channel reduced or scaled based on data
- Three decisions documented
- Three priorities set for current week