The hero image is not about looking good - it is about getting the job done.
Turn subjective aesthetic discussions into five checkable categories - information, recognition, promise, compliance, and experimentation - and deliver a modification list designers can execute directly.
Five lenses to identify hero image losses one by one.
First verify product and platform facts, then propose design suggestions; mark unknown data explicitly, and do not dress personal preferences as conclusions.
01
CONTRACT
Define the Hero Image Task
Confirm platform, placement, device, target audience, product stage, and the single primary action; one image cannot carry all selling points and all conversion tasks at once.
Leave behindHero Image Task Card
ConfirmGoals and evaluation metrics are clear.
02
RECOGNITION
Check Product Recognition
View subject area, silhouette, model, key differences, and background interference at thumbnail and real screen sizes, and record whether users can recognize what is being sold at first glance.
Leave behindFirst-Screen Recognition Issue List
ConfirmThe core product is recognizable without guessing.
03
HIERARCHY
Check Information Hierarchy
Verify the main benefit, evidence, specifications, and promotional information in three-second reading order, and remove text, decoration, and irrelevant labels that compete for attention.
Leave behindInformation Priority and Deletion List
ConfirmThe first message matches the landing page promise.
04
TRUST
Verify Promises and Compliance
Check numbers, certifications, comparisons, mockups, and disclaimers item by item; distinguish real photos, diagrams, and generated content, and do not use unprovable absolute claims.
Leave behindClaim Evidence and Risk List
ConfirmEvery important promise has a source or has been removed.
05
TEST
Create Experiment Versions
Turn problems into observable hypotheses, change only one core variable per version, and prewrite traffic thresholds, win/loss metrics, and stop conditions.
Leave behindA/B Version Brief
ConfirmThe test can answer one clear question.
FIXED RELEASE
Provide diagnostic methods, not a substitute for platform review.
FORMWEFT clean-room original document-type Skill. MIT covers only this package's original documents; the static review of the current fixed hash found no rule-flagged high-risk behavior, but platform policies, asset licenses, and product claims still require manual verification.
Not sure where to start? Copy a learning request.
You can download this reviewed version's resource package. If it includes SKILL.md, provide it and the related documentation to your AI tool; first read and check the materials and usage boundaries, and do not run anything automatically.
Prepare assets: start with fictional or de-identified examples.
Read the boundaries: confirm dependencies, inputs, outputs, and human checkpoints.
Review outputs: keep source and failure records before deciding to pilot.
You can also select the text to copy directly; read it first before executing.
This version has been reviewed.1.0.0
Rewritten independently based on the Feishu directory topic clean-room, without copying or redistributing the original package text. Conclusions apply only to the current fixed hash: the archive structure has been parsed, static rule result is eligible, with 6 files and no scripts, dependencies, or install hooks; online boundaries follow the statements in this resource, and files are output only to user-approved locations. Static review cannot replace runtime environment, input data, or later-version rechecks.
Maintainer
FORMWEFT
License
MIT
Source type
Clean-room original rebuild
Network permission
Offline by default
Local programs
None; use a browser or image viewer to open user-approved materials as needed.
Review date
2026/09/04
Review scope12 records · Expand
Fixed version hash
Yes
Static checks
Meets static rules
Files
6
Scripts
0
Dependencies
0
Install hooks
0
Network access
none; no network capability declared
Filesystem scope
Outputs only to a user-approved location
Content review
Completed
Independent human sign-off
Not claimed
Clean-room rebuild
Yes
Source text reused
No
SHA-256 · current download package0e56c3aa2e884114b0c6a4d148db01d5a8b481a9474792ee8e54096525857e69
Want main image review truly integrated into business workflows?
Submit channel, product, existing main image, target metrics, and approval roles, and we can connect diagnostics, design tasks, experiment results, and retrospectives to the enterprise marketing workbench.
What happens after submitting?
The team reviews your request and follows up by email. Scope, fees and timing are agreed separately; submitting does not create an order.