Integrate SageStepper with LMS and SIS: A 30‑Day Playbook for Accountable Innovation

Why this integration matters now

Your teams are asked to innovate without adding burden or risk. Integrating SageStepper with your LMS and SIS anchors interview practice to existing workflows—no new portals—while producing audit-ready evidence of readiness. Programs using SageStepper see measurable lifts in the first 8–12 weeks:

• Readiness score: +12 to +20 points median
• Practice streaks: 5–9 days sustained by Week 4
• Offer rate: +5–9 percentage points term-over-term
• Mentor hours saved: 30–40% via Nova auto-scoring, progress radar, and action boards

Leadership gets clarity. Faculty get fewer manual checks. Students get consistent, coached reps inside the LMS they already use.

30‑day integration blueprint (week‑by‑week)

1. Week 1 — Connect

   • Stand up LTI 1.3 in your LMS and enable SAML or OIDC SSO.
   • Create a sandbox course and verify one-click launch into SageStepper.
   • Success criteria: LTI launch < 3s, correct user role mapping, and roster sync visible.

2. Week 2 — Map data

   • Map six core SIS attributes: student_id, email, program, cohort, term, section.
   • Configure nightly sync and basic error alerts to Slack/Email.
   • Success criteria: 99% identity match rate; no duplicate accounts.

3. Week 3 — Pilot

   • Enable two assignments: Interview Sprint (weekly), Portfolio Pitch (midterm).
   • Turn on grade passback to LMS and display SageStepper progress radar in the course nav.
   • Success criteria: >85% launch success, grades returned within 60 minutes, faculty feedback under 15 minutes per section using action boards.

4. Week 4 — Scale & report

   • Add three more sections and one career services shell.
   • Share a one-page report: usage, readiness lift, streaks, offer-tracking notes.
   • Success criteria: leadership sign-off for term-wide rollout; QA ritual in place.

Aim for “boringly reliable” launches by the end of Week 1. Speed follows reliability.

Stakeholder map, approvals, and rituals

Keep governance light and transparent. Use this RACI and meeting cadence.

RACI:
  Executive Sponsor (Provost/Dean): Responsible & Approver
  IT Integrations Lead: Responsible
  LMS Admin: Consulted
  Institutional Research (IR): Consulted & Approver (data spec)
  Career Services Director: Accountable for outcomes
  Program Directors: Responsible for pilot courses
  Data Privacy Officer: Approver (DPA, FERPA)

Cadence:
  Kickoff: Day 1 (30 min)
  Tech Check: Day 3 (30 min)
  Data Spec Review: Day 7 (30 min)
  Pilot Go/No-Go: Day 14 (20 min)
  Weekly QA (Fridays): 60 min

Faculty brief (send 7 days before pilot):

• "Assignments launch via LMS using SageStepper LTI—no new logins."
• "Students practice with Nova and receive rubric-aligned feedback."
• "Grades pass back automatically; faculty can spot-check with progress radar."

Data model and field mapping that just works

Avoid over-engineering. Start with six fields, then extend only if needed.

sis_to_sagestepper_mapping:
  student_id: required
  email: required
  program: required
  cohort: required
  term: required
  section: required
  # Optional extensions
  campus: optional
  pathway: optional
  graduation_term: optional

roster_sync:
  schedule: nightly
  conflict_policy: prefer_student_id
  alerts:
    on_mismatch: email+slack
    on_duplicate: create_case

Grade passback template (points to complete):

assignments:
  - name: Interview Sprint Week 1
    lti_link: /launch/interview-sprint
    points: 10
    rubric: readiness_rubric_v2
    passback: complete >= 7/10
  - name: Portfolio Pitch (Midterm)
    lti_link: /launch/portfolio-pitch
    points: 30
    rubric: storytelling_v1
    passback: auto + instructor_adjustment

Webhook sample to confirm completion events:

curl -X POST https://lms.example.edu/api/gradebook/scores \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "student_id": "A1234567",
    "assignment": "Interview Sprint Week 1",
    "score": 9,
    "source": "SageStepper",
    "evidence": "https://app.sagestepper.com/session/xyz"
  }'

Optional signature verification (Node/TypeScript):

import { createHmac, timingSafeEqual } from "crypto";

export function verifySignature(payload: string, signature: string, secret: string) {
  const digest = createHmac("sha256", secret).update(payload).digest("hex");
  const a = Buffer.from(signature, "hex");
  const b = Buffer.from(digest, "hex");
  return a.length === b.length && timingSafeEqual(a, b);
}

Privacy note: Use student_id as the join key; store minimal PII. Share your DPA once, then reuse for additional programs.

Rollout inside the LMS: assignments and rituals

Anchor practice to graded, low-friction rituals that build streaks.

• Interview Sprint (weekly, 10 pts)

  • Students launch Nova for a 12–15 minute mock.
  • Auto-score aligns to your rubric; feedback and flashcards unlock.
  • grade passback posts completion; progress radar marks streaks.

• Portfolio Pitch (midterm, 30 pts)

  • Students upload a 2-minute video; Nova checks clarity and structure.
  • Faculty use action boards to review outliers in <5 minutes per section.

• Career Services Shell (ongoing)

  • Hosts the Action Board: Offers & Onsites Kanban.
  • Tracks referrals and mock-to-offer conversion by cohort.

Suggested LMS instructions (paste into the assignment description):

1) Click “Launch SageStepper.” 2) Complete the Nova interview. 3) Return to LMS—your grade syncs automatically within 60 minutes. Questions? Visit Help > SageStepper in course nav.

Impact story: from pilot to policy

A regional polytechnic piloted SageStepper across two sections of Software Engineering and one Business Communications course (N=146). In 6 weeks:

• Readiness score: +18 points median (from 62 to 80).
• Practice streaks: Average 7.1 days; 62% maintained 5+ day streaks.
• Offer rate (graduating seniors): +7.4pp YoY.
• Mentor hours saved: 320 hours in the term via auto-scoring and action boards triage.
• Faculty adoption: 94% launched via LMS; 0 password reset tickets.

Leadership approved a program-wide policy: all capstone sections must run Interview Sprint for Weeks 2–8, with progress radar shared in monthly success councils.

Risk controls and QA you can run every Friday

Run a one-hour, four-part QA ritual. Log outcomes in your action board.

• Roster health (15 min)

  • Check mismatch report (<1% target). Re-run sync if >1%.

• Launch reliability (10 min)

  • Review LTI launch logs; aim for >98% success.

• Grade passback (15 min)

  • Sample 10 students across sections; confirm scores and timestamps.

• Evidence audit (20 min)

  • Spot-check 5 Nova sessions. Validate rubric alignment and transcript quality.

Escalation template:

qa_issue:
  id: 2025-10-SS-014
  category: grade_passback
  impact: 24 students (BUS-302, Section 03)
  root_cause: LMS token expired
  fix: rotate token, requeue passback
  owner: LMS Admin
  eta: 2h
  comms: faculty email + LMS announcement

What to report upward (and how often)

Send a two-slide update to your dean/provost monthly:

• Slide 1: Outcomes

  • Readiness lift by program, streaks, offer rate delta.
  • Comparison to last term; highlight mentor hours saved.

• Slide 2: Reliability

  • LTI launch rate, passback SLA, SIS match rate, open QA issues.

Include a link to your SageStepper workspace and LMS shells for quick verification.

Explore more: SageStepper Product · Interview Workflow · Community Cohorts