Step 1 — Write requirements before seeing demos
Most institutes choose an LMS backwards: they watch three vendor demos, then justify a choice. Write your requirements first, and every demo becomes a checklist exercise instead of a sales pitch. Split requirements into three tiers:
- Non-negotiable: your exam patterns supported (sectional timing, negative marking, regional-language papers), payments that work in your market, student apps under your own brand, and working offline/low-bandwidth behaviour.
- High value: auto question generation from your PDFs, AI doubt answering restricted to your material, proctored mock tests, batch-level analytics, parent/fee communication automation.
- Nice to have: gamification, certificate generation, integrations with tools you already use.
Involve one senior faculty member and one admin in writing this list — they will veto real problems a director can't see.
Step 2 — Calculate total cost of ownership, not sticker price
Per-student pricing hides real costs. For each shortlisted platform, build a one-year number that includes: the platform fee, onboarding/setup charges, content migration effort (hours × staff cost), payment gateway percentages, SMS/WhatsApp charges, storage or per-test add-ons, and staff training time. Then divide by expected active students to get a true per-student figure.
A platform that looks 30% cheaper on the pricing page is frequently more expensive once question-bank creation labour is counted — this is where AI generation changes the math, since a 200-page PDF becoming a practice bank in minutes replaces weeks of manual authoring. Run your own numbers with our ROI calculator.
Step 3 — Evaluate AI claims with a live test, not a slide
Every LMS now claims to be “AI-powered”. Separate real capability from a chatbot bolted onto a content library with one test: bring your own toughest chapter PDF to the demo and ask the vendor to, live in front of you:
- Generate exam-pattern questions from it (check difficulty spread and accuracy).
- Ask the AI tutor a question that is answered in the PDF — verify it cites the source.
- Ask something NOT in the PDF — a trustworthy system says “not in your material” instead of inventing an answer.
- Show which students in a batch are at risk, and what signal that's based on.
If a vendor won't run this on your material, the AI is a demo trick. (Yes, we let you run this exact test on Sikgen AI — book a demo with your own PDF.)
Step 4 — Plan the migration as one pilot batch, then rollout
The safest migration pattern we've seen across institutes: pick one batch and one motivated teacher, run 2–4 weeks on the new platform in parallel with existing processes, and define success upfront (e.g. 80% weekly active students, one full mock test conducted, doubts answered by AI verified by faculty). Only then schedule the institute-wide rollout, using the pilot teacher as the internal champion. Avoid migrating mid-academic-term or in the final weeks before a major exam.
Step 5 — The 20 questions to ask every vendor
- Which exams and question-paper patterns are supported out of the box?
- Can students use it in our regional language(s)? Which parts — UI, questions, AI tutor?
- Does the AI answer only from our uploaded material, and does it cite sources?
- What happens when the AI doesn't know an answer?
- How are questions generated from PDFs, and how do we review them before publishing?
- Is proctoring available for mock tests? What does it flag?
- Can we see per-student, per-topic analytics? At-risk flags?
- Is the mobile app under OUR brand name on the app stores?
- Which payment gateways are integrated? What are the fee percentages?
- Can we automate fee reminders and class notifications on WhatsApp/email?
- What is included in onboarding, and what costs extra?
- How is our content protected from download/piracy?
- Where is data hosted, and who owns the student data? (You should.)
- What is the exit path — can we export students, content, and results?
- What uptime do you commit to, and what happened in your last outage?
- How do low-bandwidth students experience video and tests?
- What does support look like — response time, channel, language?
- Which features on the roadmap are actually shipping this quarter?
- Can we run a pilot batch free or cheaply before committing?
- Can you show us an institute like ours using the platform today?
Frequently asked questions
How much does an LMS cost for a coaching institute in India?
Typical pricing is per-student per-month, ranging from roughly ₹40–₹300 per student depending on features. For a 500-student institute, expect ₹2.4–₹18 lakh per year. Always compare on total cost of ownership: platform fee plus content migration, staff time, payment-gateway charges, and any per-test or storage add-ons.
What is the difference between a traditional LMS and an AI-powered LMS?
A traditional LMS stores and delivers content; teachers create every question, doubt-response, and report manually. An AI-powered LMS works from your uploaded material to auto-generate practice questions, answer student doubts with citations, score recall answers, and flag at-risk students — reducing per-batch teacher workload substantially.
How long does LMS migration take?
For a mid-size institute (500–2,000 students), a well-planned migration takes 2–6 weeks: one week for content upload and structure, one for staff training and a pilot batch, and the rest for full rollout. Running one pilot batch before institute-wide rollout is the single best way to de-risk the switch.
Should I choose a white-label LMS or build my own app?
Building a custom app typically costs ₹15–50 lakh upfront plus ongoing maintenance, and 12+ months to reach feature parity. A white-label LMS gives you your own branded web and mobile presence in weeks at a subscription price, with the vendor handling infrastructure, updates, and security.