It is arithmetic, not an opinion
Nine measured components, weighted and computed in the backend. Run it twice on the same evidence and you get the same number. No language model decides whether a student is employable.
SkillDrift Career Launchpad guides every student from first profile to first role, and gives your institution the intelligence to steer the whole journey.
A weighted blend of nine measured components, computed in the backend. Three properties that most tools in this category cannot claim at all.
Nine measured components, weighted and computed in the backend. Run it twice on the same evidence and you get the same number. No language model decides whether a student is employable.
Reassessment is bidirectional. Pass a knowledge check, then fail the retest in that area, and the uplift is taken back. A score that only ever rises is a score nobody should trust.
Every change is logged with a plain-language reason derived from the component difference. Students see their journey. Administrators see the full breakdown.
Students and Institutions are chasing the same outcome, but neither can see how close they are. The student feels the gap every day; the institution only measures it after placements are decided.
Knows the broad field, but not which skills are missing, which role fits or what to do next.
More study material does not resolve this. Students need a clear next step.
Needs to know who is ready, who is at risk and where support is needed.
Instead, decisions rely on past outcomes and the students who come forward.
One current view of student readiness, shared by both sides, built to move placement outcomes.
Every step a student takes shows up on the institution's dashboards automatically: the same numbers, at two altitudes. Nobody fills in a form to keep the other side current.
From Dean-level reporting to student-level planning, SkillDrift connects institutional strategy to individual outcomes.
AI does a lot of work in SkillDrift. What it does not do is decide the number your institution makes decisions on.
Every AI call is metered and attributed, by activity, by model and by student, with a full ledger. Your AI spend is a line item you can read, not a mystery in the invoice.
From SSO to FERPA-aligned governance, every layer is built around your institution's existing standards, security policies and IT requirements, not the other way around.



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How the score is computed, how rollout works, what happens to student data, which systems it connects to, and what it costs.
It is a weighted blend of nine measured components, computed in the backend: skill assessment, experience and evidence, situational scenarios, career alignment, voice, academic record, written reflections, supporting documents and engagement quality. The weighting is our own calibration and we do not publish it, but we walk procurement committees through the full model under NDA, and your institution can tune the weighting on top of it. What matters for trust is the property, not the numbers: it is arithmetic rather than a language model’s judgement, so running it twice on the same evidence gives the same number.
Yes, and this is deliberate. Reassessment is adaptive and bidirectional. It targets a student’s weakest prior dimensions and spot-checks areas they were previously strong in. If they fail a retest in an area they had been credited for, the credit is taken back. A score that can only rise is a score nobody should make decisions on.
No. The assessment is one early step. What follows it is the product: career matching, gap analysis against a target role, learning roadmaps that are verified rather than self-ticked, live job matching, interview practice with a coaching report, and resume work. SkillDrift is also not a resume builder.
Single sign-on over SAML 2.0 or OIDC, including Google and Microsoft. LMS integration over LTI 1.3 into Moodle, Canvas and Blackboard. Student information and ERP integration with SAP Campus and Oracle PeopleSoft. Placement CRM sync with Salesforce and HubSpot. Live market openings arrive over an API feed. You can also bulk-invite by email or CSV and skip integration entirely for a pilot.
Each institution runs on its own subdomain with its own isolated database. Every request resolves to one institution before it touches any data. Access is role-based and enforced at the API rather than hidden in the interface, with super admin, admin and manager tiers plus custom roles you define. There is a complete audit trail, including an automatic record of every mutating administrative request. Data is encrypted in transit and at rest, and residency and retention are configurable.
AI generates situational questions around a student’s own background, analyses voice, writes the career report narrative, matches careers, builds learning roadmaps, scores job fit, runs interview practice and writes coaching reports. It does not compute the Career Readiness Score, which is arithmetic. It does not write the reason a score moved, which comes from the component difference. It is not in the path of the cohort heatmaps, so any cell traces back to real responses. In the Command Center it receives anonymised aggregates only and writes interpretation, and no figure on that page is model-generated. Every AI call is metered and attributed by activity, model and student, with a full ledger.
Every plan comes with the core tools your career services team relies on. From there, choose based on your rollout scale, reporting depth and how much support you need.
One price per student per year, quoted as a single flat number. No per-module pricing and no surprise line items. Institutions typically pay across eleven separate career tool categories that do not talk to each other.
See how SkillDrift fits your campus in a 45-minute walkthrough.