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EdTech

Every new question is a report request. AI can let your SIS customers ask it themselves.

Bilal Hassan1 min read

An SIS, analytics or student-success vendor adds AI most safely by letting staff ask plain-English questions of the data they can already see, answered as tables and charts with the query shown, using each institution's own definitions of terms like cohort, active and at-risk.

Same permissions, same definitions, fewer report requests.

The report queue is the real problem

Which cohort is slipping, which program fills last, where learners drop: each new question waits for someone to build a report. Your customers want the answer inside the product they already pay for.

A generic chatbot cannot help, because term, cohort, active and at-risk mean something different at every institution, and records data carries some of the strictest contract terms your customers sign.

What good looks like

  1. 01

    Plain-English questions, checkable answers

    The question becomes a query over your reporting database or warehouse. The answer is a table or chart, and the query is visible to anyone who wants to check it.

  2. 02

    Each institution's own definitions

    A semantic layer holds each institution's terms, so the same word returns the right numbers everywhere.

  3. 03

    Permissions inherited, not reinvented

    Answers come only from rows the user can already see in your product, and institutions stay isolated from each other.

  4. 04

    Summaries for program leads

    A short weekly read-out per program, written from live data, for a person to act on.

How to prove it before you ship it

  • Collect twenty real questions your customers ask today.
  • Run them against a de-identified copy of your schema and check each answer against a reviewed result.
  • Track the share that match, and fix definitions before you widen access.
  • Keep an audit log of every question, query and answer.

How Datics helps

We run a 30-minute EdTech Product Review of your records or analytics product, then a 3-week Build Sprint: Cohortly answering a set of your customers' real questions on a de-identified copy of your schema, with an accuracy check on each. Something new? Start with a Planning Sprint. Already built or tried AI? Start with the AI Scorecard.

Book a 30-minute Product ReviewSee AI for SIS, analytics and student success

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Let us make it real without rebuilding what already works.

Book a 30-minute Product Review