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Guangdong Training Institute Admin System Case

Education · Guangdong · Remote delivery

Background

A Pearl River Delta training group (HQ in Guangzhou, plus nearby campuses) relied on spreadsheets and chat for scheduling, enrollments, and attendance. They needed a permissioned academic admin system. Changsha Moore Information Technology Co., Ltd. delivered discovery, prototypes, build, and acceptance remotely under our web admin system development offering.

Phase 1 goal: get scheduling and front-desk staff using one system daily with trustworthy numbers — not shipping every training-SaaS feature at once.

This case shows we do not only serve Changsha: out-of-province clients can ship in phases when the main workflow is clear and online reviews are possible.

Pain points

Feature list (phase 1)

UI sketch

Timeline & outcomes (indicative)

About 10–14 weeks for a first production release: discovery/prototype → build → import sampling → trial cutover. See the admin system project timeline.

~50%Less time on admin reporting
1 adminMulti-campus control
API-readyParent channel later

Indicative ranges from similar projects; acceptance data wins.

Implementation steps

  1. Unify course/class/room/permission models; write an explicit out-of-scope list.
  2. Ship scheduling + enrollment + basic reconciliation before heavy reports.
  3. Agree required fields and de-dupe rules, then import history with sampling checks.
  4. Train academic/front-desk staff; trial one campus before full cutover.
  5. After stability, evaluate payments, teacher mobile, or parent query as phase 2.

Roles

Data & integration notes

Acceptance examples

FAQ

Payment gateway integration?

Yes when scoped in discovery — channels, reconciliation fields, refunds. Or record manually in phase 1 and integrate later.

Do teachers need a native app in phase 1?

Often mobile web is enough for attendance/schedules; native/mini programs after usage stabilizes — requirement change control.

How are multi-campus permissions handled?

Campus isolation by default; HQ roles can roll up. Granularity is confirmed in prototyping.

Messy historical data?

Clean a sample first, then full import with rules for unmatched rows — don’t “import then fix forever.”

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