Pre-generation clarity
The user can see how strongly the current post matches the selected project before spending time on analysis or drafting.
Feature
Seeing the opportunity score before generation helps the operator decide faster and with more restraint.
ReplyRadar now shows the selected project's opportunity score before the user clicks Generate Reply or Generate Comment, which makes it easier to understand fit before opening the draft workflow.
Project-aware preview
When multiple projects are available, the visible score updates with the active project selection instead of staying locked to the first guess.
Better expectation-setting
A high visible score makes the next click easier to justify, while a lower score signals that the post may not be worth the effort.
More trustworthy filtering
Preview scores work especially well with score thresholds because the user can see the rule and the result in the same row.
Why this matters
Score visibility helps the operator decide before they enter the heavier part of the workflow.
The decision to click Generate is small, but repeated many times in a day. Exposing the score early reduces uncertainty and helps the user reserve energy for the posts that actually fit the product context.
The operator can make a faster keep-or-skip decision in the feed.
Project switching becomes easier because the score follows the selection.
The workflow feels less like blind prompting and more like reviewed prioritization.
The user can compare opportunities without opening each reply panel first.
What it changes downstream
Previews make the scoring model easier to trust once the full reply panel opens.
When the visible score aligns with the analyzed score after click, the product feels more coherent. That consistency matters because it teaches the operator which kinds of posts are genuinely high-fit over time.
Score previews make the eventual analyzed score feel less surprising.
Teams get a clearer bridge from discovery to draft generation.
Threshold-based filtering becomes easier to understand and tune.
The scoring model turns into a repeatable habit instead of a hidden backend step.
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