EDUCATION TECHNOLOGY & SIS

Student Information System Selection Survey

Capture how academic institutions evaluate, compare, and choose student information systems across integration complexity, vendor support, and total cost of ownership, so you can sharpen positioning, convert shortlisted accounts, and benchmark pricing against institutional willingness to pay.

Pan-India sample
Academic institutions (IT Heads / Registrars)
15-20 min
Talk to a Survey Consultant
Selection friction & drop-offsIdentify where institutions stall, disengage, or abandon vendor shortlisting.
Feature trade-offs & WTPRank must-have capabilities against budget ceilings across institution segments.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most institutions don't lose SIS procurement cycles purely on feature gaps. They lose them due to poor vendor fit mapping, misaligned implementation timelines, unclear total cost of ownership, staff adoption resistance, and integration failures with existing ERP or LMS platforms, none of which fully show up in vendor demo scorecards or IT requirement checklists.

If you are...

  • SIS vendor in competitive shortlist
  • District or campus IT director
  • EdTech product planning lead
  • Institutional strategy or CFO office
  • Registrar or enrollment operations head

You're likely facing...

  • Vendor fit confusion: legacy vs cloud
  • Drop-offs: budget approval or IT stage
  • SIS = costly/complex migration perception
  • Compliance gaps: FERPA, state reporting
  • Renewal risk from poor staff adoption

This will help answer...

  • Selection drivers beyond feature lists
  • Procurement drop-off stage
  • K-12 vs higher ed segment needs
  • TCO tolerance and pricing thresholds
  • Switching triggers at contract renewal

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete institution journey from vendor discovery to post-implementation advocacy.

TENETS 01

Discovery & Awareness

  • Initial vendor discovery channels
  • Trigger events for SIS evaluation
TENETS 02

Selection Criteria

  • Functional requirements ranked by role
  • Must-have vs. trade-off features
TENETS 03

Vendor Evaluation

  • RFP and demo assessment process
  • Reference check and pilot scope
TENETS 04

Procurement Friction

  • Budget approval and cycle delays
  • Compliance and procurement barriers
TENETS 05

Pricing & TCO

  • Per-student pricing vs. flat licensing
  • Total cost of ownership benchmarks
TENETS 06

Implementation & Onboarding

  • Go-live timeline and milestone gaps
  • Data migration and staff readiness
TENETS 07

Support & Retention

  • Post-go-live support tier satisfaction
  • Renewal triggers and churn signals
TENETS 08

Competitive Positioning

  • Vendor shortlist composition by tier
  • Switching barriers and lock-in factors

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Student Information System Selection Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across institution types and decision roles.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking SIS selection criteria by institution type
2
Benchmarking vendor satisfaction scores
3
Comparing priorities across IT, academic, and finance roles
Deliverables
Criteria ranking matrix
Vendor scorecard
Role-segment breakdown
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Registrars and bursars with low survey engagement
2
Smaller institutions across non-metro districts
Deliverables
Institution-type coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large university groups in active SIS procurement cycles
2
Decision committees requiring structured in-person validation
Deliverables
Procurement journey maps
Committee decision profiles
OPTIONAL
FGDs
Deliverables
Themes and quotes
Concept feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quantitative layer, targeting IT directors, registrars, and academic operations leads across K-12 networks and higher education institutions.
Consider adding: CATI for smaller institutions with low digital survey participation, and F2F sessions with procurement committees at large university groups currently in active SIS evaluation cycles.

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the education technology and administration space.

CASELET 1

Campus administration platform switching intent & friction (India)

CASELET 2

Student data governance priorities & vendor trust signals (South Asia)

Campus administration platform switching intent & friction (India)

OBJECTIVE

A mid-size edtech platform needed to map how registrars and academic operations heads at private universities evaluate switching from legacy ERP-based administration tools to cloud-native platforms, and which friction points stall final vendor commitment.

WHAT WE DID

Ran a structured quant survey across 180 institutions in 6 states, capturing vendor shortlist criteria, evaluation stage drop-off, IT dependency concerns, and budget approval pathways for administration software decisions above a defined annual contract value.

DELIVERED

A segment-level friction map by institution type, a ranked list of evaluation blockers at each procurement stage, and a set of message territories calibrated to registrar concerns versus IT head concerns.
CASELET 1

Campus administration platform switching intent & friction (India)

CASELET 2

Student data governance priorities & vendor trust signals (South Asia)

Campus administration platform switching intent & friction (India)

OBJECTIVE

A mid-size edtech platform needed to map how registrars and academic operations heads at private universities evaluate switching from legacy ERP-based administration tools to cloud-native platforms, and which friction points stall final vendor commitment.

WHAT WE DID

Ran a structured quant survey across 180 institutions in 6 states, capturing vendor shortlist criteria, evaluation stage drop-off, IT dependency concerns, and budget approval pathways for administration software decisions above a defined annual contract value.

DELIVERED

A segment-level friction map by institution type, a ranked list of evaluation blockers at each procurement stage, and a set of message territories calibrated to registrar concerns versus IT head concerns.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between K-12 institutions, community colleges and research universities?

How will you measure SIS platform preference beyond simple ratings?

Will the survey map the full SIS evaluation and procurement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our pipeline conversion and renewal rates?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call