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×Academic advising software for higher education
Grow enrolment without growing your advising team.
Academic advising software that takes the routine work off your team plan review, holds, outreach and surfaces the students who are drifting while there is still time to reach them.
Outcomes reported in the CollegeSPARC case study with BYU-Idaho. Case study and reference calls available on request.
The problem
Your best advisors spend registration season on clerical work.
Plans stack up in a review queue. Holds get lifted one at a time. The same six questions get answered individually, all week. None of it is advising, and all of it lands on the people you hired to advise.
Then the term ends and you find out who was drifting. Nobody missed them through carelessness they never appeared anywhere in time to act on. Another dashboard fixes neither problem. Taking the work away fixes the first; seeing the student earlier fixes the second.
What makes it different
A CRM only knows what staff type into it.
CollegeSPARC runs the tutoring centre, the degree planner and the career roadmap so it also sees what the student actually does. That is not a convenience argument. It is why the risk picture is better.
The same record also takes in what you already run LMS activity, attendance, holds, placement results so the advisor opens one profile before a meeting rather than four systems. Any platform can integrate a feed. The difference is where it lands.
Modules
Six modules covering the whole arc a student travels.
Every one runs standalone and writes to the same record. Most institutions start where the pressure is worst and add from there.
Readiness
Placement and developmental support close gaps in maths, writing and study skills before they turn into retention problems.
Planning & support
Degree plans, advising appointments, tutoring and early alerts keep a student moving and surface the ones who aren't.
On-time completion
Validated plans and shortest-path analysis protect students from the extra semesters that cost them tuition and momentum.
Career readiness
Assessments, labour-market data and multi-year roadmaps turn a completed degree into an employable graduate.
Run advising as an operation, not a set of calendars.
Centres, availability, appointments and walk-ins in one live queue and a caseload view that turns data into outreach.
Explore Advising →Graduation plans that approve themselves.
Degree-audit-backed graduation plans that validate and approve themselves against your own academic rules.
Explore Planning →One system for appointments, groups and drop-ins.
Centres, tutors, availability and attendance for appointments, groups and drop-ins — with adaptive learning alongside.
Explore Tutoring →A risk model that is yours, and explainable line by line.
An institution-defined risk model with every score explainable, routed to a coach with an intervention attached.
Explore Alerts →From self-discovery to a declared career goal.
Self-discovery through to a declared career goal, grounded in labour-market data and connected to the academic plan.
Explore Career →One record of everything sent to a student.
Announcements, staff email and automated messages against one student record, with opt-out enforced at the queue.
Explore Communications →AI
AI that takes work away, inside rules you set.
For staff it removes steps, often without anyone opening the system. For students it adapts what they learn, bounded by configuration your faculty authors.
No login required
An advisor emails their availability in plain English and the slots are created. A faculty member replies “approved” to an internship request and the status updates. The work happens where your staff already are which is the difference between software faculty are asked to adopt and software they use.
Notes that file themselves
Advising notes are summarised and tagged as they are written, then roll up into reports showing what students are actually coming in for. Patterns your team would otherwise only know anecdotally, from work they were already doing.
The lesson library is yours
A learning pathway can only draw from the master library your faculty curates. The AI sequences and filters what is already approved; it never invents content. And a student can book a human advisor immediately after an AI diagnosis.
Nothing adapts silently
Every change to a pathway is logged where the student can see it what was added, skipped or reordered, and why. Role-play practice is scored against rubrics your faculty writes, after the session, against evidence from the transcript.
Who it's for
Built for the people who run the work.
You run advising
Director / AVP of Advising
Your team's week disappears into plan review, holds and appointment admin. Start with Advising, add Planning when the degree-audit connection is ready.
You run a learning centre
Tutoring / Learning Centre Director
Appointments, groups and drop-ins in one place, policy you change without a release, and occupancy data that justifies your staffing. Our fastest deployment.
You own student success
VP / AVP Student Success
Risk signals you can defend in a meeting and interventions with an owner attached — including signals a CRM cannot see.
You own the systems
CIO / Registrar
We are not replacing your SIS or your degree audit. The audit stays authoritative; we read it live and render what it says.
Proof
Eleven years in production at BYU-Idaho.
BYU-Idaho serves more than 50,000 students around 20,000 on campus, the rest online in partnership with BYU-Pathway Worldwide across over 100 degree programmes. CollegeSPARC has run institution-wide for eleven years, which makes this a record rather than a pilot.
The advising centres described the change in their own words at the time. Their point has not aged: the queue stopped filling, and the hours went back into students.
“Usually at this time in the semester we have about 100–130 or more graduation plans in the queue for us to individually look over and approve… We rarely leave the office with any graduation plans in the queue.”Advisor, College of Agriculture and Life Sciences
“The new Grad Planner has greatly reduced the time spent reviewing grad plans. We have much more time to spend on advising students rather than routine clerical work.”Advisor, College of Education and Human Development
“Our centre's grad plan workload is decreasing, allowing us to focus on proactive outreach. Error messages help students fix issues without waiting for an advisor.”Advisor, College of Business Communication
Fit and integration
Configured, not customised.
No two institutions define “at risk” the same way, organise their centres the same way, or license the same labour-market data. Those differences are settings rather than development work which keeps an implementation measured in weeks and an upgrade from becoming a re-implementation.
Advising centres with their own roles and permissions, published advisor availability, appointments and walk-ins in a single live queue, and every visit recorded as a durable, searchable advising record. Around the visit workflow sits the caseload work mentee groups, watchlists, referrals and to-dos so outreach is driven by data rather than memory.
Why it matters
One advising record per student
Visits logged as quick, batch or full sessions, with notes, attachments, goals and summaries, searchable across centres and advisors so a handoff does not restart the conversation.
Routing that reflects your structure
Centres are mapped to your colleges, departments, majors, minors, emphases and certificates, so a student is shown the centres that can actually serve them.
Walk-ins and appointments in one queue
Scheduled appointments check in to the same live waiting-room queue as walk-ins, giving the front desk and advisors one real-time view of who is waiting and who is being seen.
Caseload work driven by signals
Mentee groups can be built from analytics rules and refreshed on a schedule; watchlists and early-alert badges surface at-risk students on the advisor's own landing page.
Compliance built into the workflow
A recurring FERPA acknowledgement, an impersonation audit report and a searchable outbound-email audit give the institution evidence of how student data was accessed and communicated.
What's included
- Configurable wizard tiles routing students into the right booking flow
- Self-check-in, including by QR code at a centre kiosk
- Referrals across centres with status tracking
- Templated emails, to-dos and action plans
- Advising notes summarised and auto-tagged as they are written
- Availability set by emailing it in plain English
- Approvals granted by replying to the request
- Filter-driven report builder with saved templates and CSV export
- Survey dispatch from the reporting surface
- Role-based access across every screen and API
Other modules
Students and advisors build a semester-by-semester path backed by live degree-audit data, with requisite and credit checking, alternate-major exploration, and automated approval against rules the institution defines. Where a plan meets those rules, no advisor has to open it.
Why it matters
Backed by the registrar's audit
A student's degree audit is read live from your SIS when they open planning. We render what your audit says rather than keeping a second opinion of it, and planning-time checks are labelled as ours so nobody confuses the two.
Errors surface during planning
Plans are validated against your graduation rules while the student is still planning, rather than at graduation clearance when the cost of a mistake is an extra semester.
What-if without commitment
A guided wizard builds an alternate plan for a candidate major and shows which completed courses already count towards it, without changing the declared major.
Shortest path, calculated
Algorithmic analysis across the degrees a student is eligible for, ranked by remaining credits to completion — deterministic and explainable, not a model's guess.
Approval without a queue
Institution-approved recommended plans validate and approve autonomously, which is what removes the review backlog rather than making it easier to work through.
Sequencing. Planning reads a live degree audit, so it carries the heaviest integration in the platform. It is normally phased in after a first module is live.
What's included
- Single-semester and multi-semester plan views
- Prerequisite, corequisite and availability checking
- Per-student semester credit limits enforced against load policy
- Recommended sequences, optional sequences, electives and exam requirements
- Placeholders for requirements where the course is not yet chosen
- Retake handling and double counting applied per policy
- Holds, tuition and eligibility visible inside the plan
- Advisor overrides and documented exceptions where policy allows
- Concurrent-edit protection so a student and advisor cannot overwrite each other
- Full plan history of submissions, approvals and overrides
Other modules
Tutoring management software for higher education
CollegeSPARC for Learning Centers
Appointments, groups and drop-ins in one system on a record the rest of the institution can finally see.
The problem
Most of what a learning centre knows never leaves the learning centre.
You can't staff to demand you can't see
Drop-ins go unrecorded, or get recorded somewhere else. Utilisation figures end up describing the bookable half of the service and understating the rest.
Policy lives in people's heads
Caps, cancellation windows, who may book what — enforced by whoever is on the desk that afternoon, and renegotiated every term.
The students who need help most don't come
A learner who has never been assessed, or who doesn't know what to ask for, never walks in. A service that waits to be approached selects against them.
Your impact is invisible upstairs
Attendance sits in a scheduling tool. The retention conversation happens elsewhere, using numbers your centre never contributed to.
What's different
Your attendance data finally counts for something.
CollegeSPARC's tutoring module isn't a scheduling tool bolted to the side of the institution. It writes to the same student record advising and the risk model already use.
Advisors see the visit
A student's tutoring history appears in the advising profile, so the advisor stops asking questions your centre already has the answer to.
Risk scoring reads attendance
Missed and declining attendance feed the institution's early-alert scoring directly a signal no advising CRM can have, because it doesn't run tutoring.
Reports land where leadership already looks
Centre usage sits in the same reporting layer as retention and completion. That is what turns a budget conversation from anecdote into evidence.
Unmet demand gets recorded
When a student searches and finds nothing, that is captured too — so the gap between demand and staffing is a number you can take to a dean.
The centre stops being an island. For most directors that matters more than any booking screen.
The operation
Configured by you, not coded by us.
Each centre runs under its own rules a writing centre, a maths lab and a peer-tutoring service inside one institution with course mappings, tutor enrolments, locations, availability and policy all hanging off the centre.
- One-to-one sessions, group sessions and unbooked drop-ins recorded together, so utilisation covers the whole service
- Caps per student per course per week, tutor weekly caps and cancellation cut-offs as settings, not releases
- Centre visibility, attachment policy and terms of use configured per centre
- Eligibility checked before booking — visibility by student type, enrolled-course filtering, restriction checks
- Kiosk check-in and check-out, with attendance tied to tutor, course and student
- Smart scheduling rules and tutor-to-course mapping
- Section-scoped faculty visibility, with privacy-restricted appointment listings
- Skills-tagged content library
- Accommodations and access restrictions
- Centre usage, tutor occupancy and drop-in reporting, plus a no-availability alert
Between the sessions
Adaptive learning, bounded by content your faculty curates.
A tutoring centre can only be open so many hours. Adaptive learning covers the rest and reaches the students who never walk in.
A check-in that finds gaps without an assessment
A conversational skill check-in walks the skills in a course and records where the student is stuck. No prior assessment needed which is how the learners from the problem above get found.
A pathway from your own lesson library
A coach works out why the gap exists, then orders lessons and practice drawn only from the master library your faculty curates. The model sequences and filters approved content; it never invents any.
Nothing changes silently
Score above 90% and the next lesson is skipped; below 45% and a remedial lesson is inserted. Every change is written to a log the student can see, with the reason.
A person is always one click away
Find a tutor from inside any lesson, or book an advisor straight after a diagnosis. The student is never left with only the machine.
Getting started
Live before your SIS integration is.
Tutoring asks less of your SIS than anything else in the platform. It runs on your SIS course codes and sections, or on a topic catalogue you upload yourself so a centre can be taking bookings while enrolment integration is still being scoped, and the data backfills when it lands.
Most institutions pilot one centre for a term before committing anything else.
Other modules
An institution-defined risk model, academic and survey data, and concerns raised by staff combine into a single record of concern per student, routed to a success coach who works an assigned caseload through a heat-map dashboard and structured success plans.
Why it matters
The risk model is the institution's, not the vendor's
Administrators define the categories, the criteria under them, the weight of each criterion, and the score bands that map to Low, Medium and High. Nothing about the definition of “at risk” is hard-wired by us.
Every score is explainable line by line
A score is stored with its component criteria, so a coach can see which criteria drove the total and talk the student through it instead of quoting an opaque number.
Academic and self-reported signals feed one record
Grades, credit progress, failed courses, graduation-plan status, LMS participation recency and career-declaration timing sit alongside the student's own survey answers on well-being and access to resources.
Concerns do not need a survey or a batch run
Staff can raise a concern on a student immediately, with a description and a chosen level, and it appears in the same alert stream coaches already work.
Intervention is attached to the alert
Coach assignment, success plans and tasks live on the student's risk detail page, so a flag turns into an owner and a next step rather than a line in a report.
What's included
- Configurable categories, criteria, weights and score bands
- Heat-map success dashboard across an assigned caseload
- Success plans with goals, actions and timelines
- Faculty and advisor concern raising from their own screens
- Background batch scoring, with invalid and duplicate identifiers reported back
- Executive views of alert volume, coach workload and retention outcomes
Other modules
A guided path through four questions who am I, which careers fit, which major, and what do I do each semester where every option is described with real labour-market data, and the answer feeds back into the student's academic plan.
Why it matters
A single guided path, not a set of tools
The assessment dashboard sequences self-discovery, then opens career, job-role and degree exploration filtered by what the assessments actually found.
Conversations grounded in data, not impressions
Every occupation page carries employment levels, earnings, similar careers and required knowledge and skills for a chosen location, so advising discussions start from evidence.
Skill gaps visible before the student commits
The alignment view puts a student's self-rated knowledge and skills next to the requirements of a target occupation, turning “is this right for me?” into a concrete list of what to build.
Career intent becomes institutional data
A declared target career is stored once and shared with the home dashboard, retention calculations and institutional reporting, so it can be measured and acted on rather than guessed at.
The data source is a licensing decision
Occupation content is served through a provider layer, so an institution runs on the source it is licensed for — Lightcast or a hosted O*NET catalogue — and can change it later without changing the student experience.
What's included
- Interest, personality, values, challenge and employability instruments
- Favourites and side-by-side career comparison
- An alternate graduation plan created from any degree explored
- Multi-year, major-specific roadmaps drawn from a central task repository
- Completion, progression and activity dashboards by class year
- College and department roll-ups for deans and programme leaders
- AI role-play practice scored against rubrics your faculty authors
- Advisor read-only view of everything the student has explored
Other modules
Three kinds of message in-product announcements, email sent by a person, and email generated automatically when something happens elsewhere in the platform all kept against one person record, so an advisor opens a student and sees the whole outbound history rather than guessing at it.
Why it matters
One record of what was sent
An advisor searches for a student and sees their recent emails and announcements side by side, then opens the full mailbox filtered to them. Outreach history stops living in individual staff inboxes.
Audiences defined by institutional data
An announcement can be attached to an automation rule, so the recipient list is built from criteria such as GPA band, major or enrolment state and re-syncs as students move in and out of the definition.
Editing a live message disturbs nobody
Changing a published announcement creates a draft alongside it. The live version stays visible until the draft is explicitly published, and the draft can be reverted with no effect on the parent.
Opt-out is enforced at the queue
Every message queued through the platform has an unsubscribe link injected and skips recipients who have unsubscribed whoever composed it, and whatever surface it came from.
Publishing and expiry run themselves
Scheduled jobs move announcements live on their posting date and expire them past their end date, so nobody has to remember to switch a notice off.
What's included
- In-product ribbons and pop-up announcements
- Automated messages triggered by platform events
- A student-facing “My Communications” home
- Rich-text authoring with version history
- Admin surfaces specified to WCAG 2.1 AA
Other modules
Platform
How CollegeSPARC configures to your institution, connects to your systems, and handles student data.
Configured, not customised
The parts that differ between institutions are settings.
The risk model is defined by your staff
Categories, the criteria under them, each criterion's weight, and where the Low, Medium and High bands fall are administrator settings. Nothing about the definition of “at risk” is hard-wired or inherited from another institution.
Centres map to how you are organised
Advising centres map to your colleges, departments, majors, minors, emphases and certificates. Each tutoring centre runs under its own policy caps, cancellation windows, visibility, terms of use — as configuration rather than code.
Your degree audit stays authoritative
We read it live and render what it says rather than keeping a second opinion. Planning-time checks are labelled as ours so nobody confuses the two. Tutoring can run on your SIS course codes or on a locally uploaded topic catalogue.
Labour-market data is your choice
Occupation content is served through a provider layer, so an institution runs on the source it is licensed for Lightcast or a hosted O*NET catalogue and can change it later without changing the student experience.
Integration
Alongside your SIS, not instead of it.
CollegeSPARC is not a system of record for enrolment or your course catalogue. It keeps a working copy of the people, programmes and courses it needs, synchronised from the systems that already own them.
Two integration paths, chosen by what your campus can produce: a scheduled API connector where your source system exposes one, or a file-landing pipeline where nightly extracts are what you have. File loads land in a staging database first, so an operator can inspect what arrived before it touches live records.
Tutoring can run before any of that is finished, which is why it is usually the first thing live.
WCAG 2.1 AA
Independently audited. Report and accessibility conformance documentation available on request.
FERPA-aware by design
Role-based route and API authorisation, plan ownership checks, recurring FERPA acknowledgement, and tenant isolation scoped to the institution.
Auditable access
Impersonation paths logged and role-controlled; outbound email searchable; plan history recording every submission, approval and override.
Your data stays yours
No cross-institution aggregation and no research pooling. Your risk model is defined by your staff and stays inside your tenant.
Start where the pressure is worst.
A demo is 45 minutes, and we will show you the graduation plan queue clearing itself whether or not that is the module you start with.
- A working demo against your priorities advising, tutoring or planning first, depending on where your week is worst.
- A module-selection workshop with your team: what to adopt first, and what can wait.
- An honest integration scope what your SIS exposes, what that means for sequencing, and what goes live in the first quarter.
- A conversation with BYU-Idaho advising staff, arranged by us, with no vendor in the room.