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Platform Pricing
For leadership & strategy rectors · deans · directors

Steer on this year's students, not last year's numbers.

Retention, completion time, and the budget tied to them usually reach your desk as last year's numbers. StudentPulse gives you the same numbers while you can still change them.

The retention numbers you answer for, as leading indicators you can act on while the term is still live.

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Our guide to steering on leading indicators, not last year's numbers. Free, straight to your inbox.

3M+ student answers · 65+ institutions · EU-hosted, GDPR-native
Completion outlook · this term
Students at risk
214 −18% vs last term
Funded places protected
€1.2M est.
Early signal → intervention → outcome
4.2 Mentoring programme, sem. 2 6.8
Illustrative view. The board pack exports exactly this chain.
Trusted by 65+ European institutions
The problem

The squeeze every institution is in

Three pressures, one conclusion: more students must complete, faster, from cohorts that need more help than ever. And your funding model is watching.

Shrinking cohorts

Fewer young people are entering the system. You cannot recruit your way out of attrition; every admitted student has to count.

Rising support needs

Wider-participation intakes arrive less prepared. The cost of getting each student to the finish line grows year on year.

Funding on outcomes

Budgets increasingly follow retention, completion time, and graduate outcomes, and your national quality regime expects a documented response.

The shift

Trade the once-a-year survey for check-ins you can act on

The annual survey lands too late to change anything: by the time the report is written, the students it describes have already gone. StudentPulse replaces it with short, continuous check-ins that are read the moment they arrive and turned into action while the term is still live. Same students, same year, in time to move the outcome.

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01 · Micro check-ins
Students answer, a little and often

A short check-in around three times a semester, roughly a minute on a phone: a few scores and a line in their own words. It feels more like a conversation than a survey, which is why most students answer.

02 · Read and mapped
Every reply, read on arrival

The AI reads each answer the moment it lands and maps it to the shared data model and the four completion factors, by programme, cohort, and campus.

03 · Surfaced in context
The right view for each team

Wellbeing and quality teams act on the signals; leadership sees the same data rolled up to completion and funding. The cockpit below is that leadership view.

See the full platform walkthrough
The leadership view

Wellbeing, risk, and completion, in one live view

Wellbeing, risk, and completion by campus, faculty, and programme, with the open actions next to the numbers they should move. Filter it live.

The StudentPulse leadership dashboard: student wellbeing, dropout-risk, on-time completion, the four completion factors, and breakdowns by faculty and campus, in one live view.
Academic year 2025/26 overview
Student wellbeing & retention · live
Overall wellbeing
7.1/10
▲ +0.3 vs last term
Students at risk
14%
▼ −2.1 pp · 6,356 students
On-time completion
78%
▲ +4 pp projected · from the 4 factors
Check-in response
71%
30,615 replies
5,840
Self-help resources used
612
1:1 sessions booked
34
Open staff actions
218
Resolved this term
4.1 days
Avg. time to resolve
Wellbeing over the year▲ +0.3
AugNovFebJun
Dropout-risk index over time▼ −2.1 pp
AugNovFebJun
On-time completion by cohort
Projected Target
2021
2022
2023
2024
2025
The four factors behind completion Weighted blend (illustrative) → 78% projected on-time completion
017.4
Academic engagement
weight · 36%
026.6
Self-efficacy
weight · 36%
037.6
Collaboration
weight · 18%
046.8
Belonging
weight · 10%
Illustrative weighting and completion mapping for demonstration.
What drives dropout risk
Sense of belonging
82%
Academic stress
74%
Workload
61%
Loneliness
58%
Financial worries
49%
Motivation
37%
Wellbeing by faculty
Architecture and Design
7.6 ↑ +0.2
Economics and Management
7.4 ↑ +0.4
Humanities
7.2 ↑ +0.1
IT and Electrical Eng.
7.0 ↑ +0.3
Natural Sciences
6.7 ↓ −0.2
Engineering
6.5 ↑ +0.5
Social and Educational Sciences
6.4 ↓ −0.1
Medicine and Health Sciences
6.1 ↓ −0.3
Wellbeing by campus
East37,800 students
7.0↑ +0.3
West3,500 students
6.8↑ +0.2
North4,100 students
6.5↓ −0.2
Live, filterable demo · illustrative data. In the product this is your real institution, down to programme level.
Feature highlight

The few things that need you, found every Monday morning

Every night Observations reads your whole account and brings you the few things that actually need a decision, ranked and written for you. The leadership digest is institution-level risk and where to put resources, framed against your strategy.

1 Reads it all, nightly. Every check-in across your account, scores and open comments alike.
2 Finds what changed. A programme slipping, a cohort below benchmark, a signal worth a look.
3 Ranks and routes. Each finding ranked by urgency and written for you, in-app and a Monday digest.
4 Email it on, or act. Send an observation straight to a colleague, or resolve, snooze, or dismiss it yourself.
StudentPulse · Weekly digest 1 of 6 · Monday, 08:00
Topic Act now

BSc Computer Science: confidence in achieving academic goals collapsed to 5.3

5.3Now
−3.1
8.4Last year
7.9Own baseline
142 replies

On “I'm confident that I can achieve my academic goals”, BSc Computer Science is at 5.3, down from 8.4 the same period last year, the single largest topic decline at the university. Open comments point to workload and unclear assessment. Recommended next step: a programme review with the department head.

BSc Computer Science
Explore
Advisory by design: Observations flags, ranks and explains. You decide: act on it, email it to a colleague, snooze, or dismiss, with a trail of who resolved what. Illustrative example.
The research

Four factors decide who completes

Independent Danish research from EVA, the Danish Evaluation Institute, names four factors that move completion, grades, and wellbeing: academic engagement, efficacy, collaboration, and belonging. They are not captured by an annual survey. StudentPulse tracks all four continuously, because each maps directly onto the framework it measures with.

How the four factors map to the data model →
01
Academic engagement
02
Self-efficacy
03
Collaboration
04
Belonging
Bar length shows each factor's relative effect on completion, from the EVA study.
One shared framework

It all maps to one data model

Behind every check-in sits one research-based framework: three domains, academic, personal, and social, broken into 38 topics and 155 subtopics. The four completion factors, and every number on the cockpit above, are tagged to the same place, so feedback stays comparable across cohorts, faculties, campuses, and the wider sector, and any single factor can be followed as one line over time.

Explore the open data model →
Longitudinal view

Watch a factor move, term by term

Because every check-in maps to the same framework, each of the four factors reads as one line across the year. You see the dip, the decision you made against it, and whether completion risk actually eased, not a memory of it months later.

0–2 crisis · 3–5 below · 6–8 average · 9–10 flourishing
Academic engagement
One faculty · one academic year · 6 check-ins
7.3 ↑ 0.7 over the year
0246810DecisionSepOctNovFebAprJun
Oct signal → timetable and teaching change. First-year engagement dipped in the opening weeks. Reworking the timetable and adding structured contact hours followed early, and engagement climbed for the rest of the year, completion risk easing with it.
Illustrative data · every point maps to the same subtopic in the framework.
Insights across the sector

Your numbers mean more next to everyone else's

Every check-in maps to one shared framework, so your institution benchmarks against comparable ones across the platform, and you see what is already working elsewhere, straight from students. The anonymized dataset makes each institution’s own numbers mean more.

And you are not on your own with it. Your StudentPulse partner helps you read the benchmark, set priorities with your teams, and translate the picture for the board, while the sector view shows which moves actually shifted outcomes elsewhere. Software, plus the people and research behind it.

Aggregate and anonymized. No institution or student is ever identified, and no student IDs are stored.
How we work together →
7.1
Overall student experience Cross-topic index · your score this term
Benchmark +0.4 vs the sector
Your institution7.1
Comparable institutions6.7
Top 3 recommendations · what worked
We read the institutions scoring highest on overall experience and pull out what their students say made the difference.
1Close the loop in public: tell students what changed after they spoke up.
2Give each faculty its own dashboard, so ownership sits where the work happens.
3Report one experience index to the board, term over term.
Based on 3M+ anonymized answers across the sector
Explore the sector dataset in the insight explorer →
The evidence
On the factors StudentPulse measures, students who thrive show up to a 19 percentage point lower dropout risk (EVA, the Danish Evaluation Institute). StudentPulse surfaces those signals in continuous check-ins, early enough to act on them. Retention is the clearest line from the student experience to the institution's results.
Read the EVA study
For leadership & strategy

Cheaper than the problem it solves

Put in your size and dropout rate to see the funded places at stake, then calculate the full business case or see pricing.

Enrolled students8,000
Annual dropout rate12%
960
students lost per year
€4.8M
funded places at stake, per year
Illustrative at €5,000 average annual funding per student. Adjust everything on the full business case.
Collaborations

The difference it makes, in practice

In practice · Business school, Norway
"Well-being is no longer a support function. We see it as a strategic driver of quality."
BI Norwegian Business School
Nedim Olsson Kasumacic Head of Insight, Innovation and Online Operations, BI Norwegian Business School
20,000students, across four campuses
AllBachelor and Master, plus online
2027full institution-wide rollout
One platform, every team

The same feedback foundation, for the whole institution

StudentPulse runs one system for quality, wellbeing, and leadership. Here is where the other teams come in.

Questions leadership asks first

A completion outlook by programme, faculty, and campus, the topics driving it, and the interventions in flight. It is the same data model your wellbeing and quality teams work from, aggregated to the level you answer for.

See your institution's numbers, live

A 45 minute demo with your programmes and your funding model on screen.

Free guide
How to steer on leading indicators

How continuous check-ins become leading indicators, and leading indicators become decisions you make while the term is still live, not last year's numbers.

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