01
A readiness read on the whole cohort
Not just the ones who came to office hours. Average readiness, count assessed, tier breakdown, department by department, with the eight dimension averages under each.
Know who is ready, who is at risk, and who needs help this week
On a Monday morning you should be able to say how many of this cohort are employable, which departments are behind, and which fifteen students need an intervention while there is still time. Most career services teams cannot, and it is not for want of effort. It is because nothing measures the student and the institution in the same units.
THE PROBLEM, IN YOUR WORDS
Where the visibility actually breaks.
Decisions get made about the students who walk through the door. The ones who do not come forward are invisible until placement season, and by then it is a report rather than a decision.
WHAT YOU GET
Seven things, none of which need your team to key anything in.
02
Heatmaps that name names
Cohorts against eight dimensions, built from assessment scores with no AI in the path. Click a cell and it lists the students behind the colour. Every cell traces back to real responses.
03
A pipeline you do not maintain
Discovering, Building and Ready derive from readiness automatically. You manage Interviewing and Placed, with full move history and one click back to the automatic stage.
04
The at-risk list, with time to act
Students at risk and top-fit students as working lists, not percentages on a chart. Names, with the gap that put them there.
05
What the market is asking for
Top skill gaps blocking readiness set beside top market-required skills, per department, so the intervention has an argument behind it.
06
On-campus jobs
Post your own openings and they appear scored against every student's real profile, alongside the live market feed.
07. No data entry. Every screen is computed from what students actually did. Nobody on your team keys anything in to keep it current.