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Home ❯Ken Survey ❯BRAND PERCEPTION SURVEY ❯
EDUCATION & TEST PREP

After-School Tutoring Brand Preference & Board Exam Result Influence Survey

Measure how students and parents evaluate, compare, and choose after-school tutoring brands on result track record, faculty quality, and fee structure, so you can sharpen positioning, fix acquisition gaps, and benchmark conversion by segment.

Pan-India sample
Students & Parents (Board Exam Decision-Makers)
15-20 min
Talk to a Survey Consultant
Brand selection frictionIdentify where parents hesitate, compare centres, or abandon enrolment decisions.
Result influence & segment driversRank board exam outcome weight against fee, faculty, and format preferences.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most tutoring brands don't lose board exam families purely on fee structure. They lose them due to result credibility gaps, faculty perception mismatches, peer referral breakdowns, center proximity friction, and weak subject-level differentiation, none of which fully show up in enrollment data or parent feedback forms.

If you are...

  • Tutoring brand vs coaching chain
  • Center head scaling enrollments
  • Curriculum or academic director
  • Revenue head, board exam segment

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete aspirant journey from brand discovery to board exam outcome attribution.

TENETS 01

Discovery & Awareness

  • First touchpoint, channel source
  • Peer referral vs. digital reach
TENETS 02

Brand Preference

  • Shortlist criteria, brand recall
  • Faculty reputation vs. brand name
TENETS 03

Enrolment & Onboarding

  • Seat availability, batch allocation
  • Trial class conversion rate
TENETS 04

Curriculum & Delivery

  • Board-aligned content coverage
  • Offline vs. hybrid class format
TENETS 05

Pricing & Value

  • Monthly fee range, sibling discounts
  • Willingness to pay for result guarantee
TENETS 06

Result Attribution

  • Score improvement, pass rate credit
  • Parent-perceived tutoring contribution
TENETS 07

Loyalty & Retention

  • Re-enrolment intent, sibling referral
  • Switching triggers post-board results
TENETS 08

Competitive Positioning

  • Brand rank vs. local coaching centres
  • EdTech platform vs. offline preference
Request a scope validation call

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?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Board Exam StudentsParents of StudentsTuition Centre EnrolleesHome Tutor UsersOnline Platform Subscribers
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Board type: CBSE vs ICSE vs State BoardGrade band: Class 9-10 (secondary) vs Class 11-12 (senior secondary)Tutoring format: offline centre vs home tutor vs online platformMonthly spend: low (below 2,000), mid (2,000-6,000), high (above 6,000)Result outcome: distinction (above 85%), pass (60-85%), below expectation (below 60%)
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected

METHODOLOGY

Survey approach

For the After-School Tutoring Brand Preference & Board Exam Result Influence Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking tutoring brand preference by board type
2
Measuring result-attribution scores across segments
3
Comparing fee sensitivity by city tier
Deliverables
Brand preference ranking
Result-influence matrix

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

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
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 after-school education and test-prep space.

CASELET 1

Coaching centre channel preference & enrolment triggers (India)

CASELET 2

Board result attribution & tutor credibility perception (North India)

Coaching centre channel preference & enrolment triggers (India)

OBJECTIVE

A regional test-prep provider needed to identify why Class 9 and Class 10 students chose offline coaching centres over app-based tutoring platforms , and which enrolment triggers drove final commitment decisions across metro and Tier 2 cities.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 student-parent dyads, capturing shortlisting criteria, fee sensitivity thresholds, trial class conversion rates, and the role of peer referral versus teacher reputation in final centre selection.

DELIVERED

A segment-level enrolment trigger map , a ranked channel influence framework by city tier, and a fee corridor showing the price bands at which parent willingness to switch platforms dropped sharply across income segments.
Talk to Survey Consultant
CASELET 1

Coaching centre channel preference & enrolment triggers (India)

CASELET 2

Board result attribution & tutor credibility perception (North India)

Coaching centre channel preference & enrolment triggers (India)

OBJECTIVE

A regional test-prep provider needed to identify why Class 9 and Class 10 students chose offline coaching centres over app-based tutoring platforms , and which enrolment triggers drove final commitment decisions across metro and Tier 2 cities.

WHAT WE DID

Ran a structured quant survey across 6 cities with 480 student-parent dyads, capturing shortlisting criteria, fee sensitivity thresholds, trial class conversion rates, and the role of peer referral versus teacher reputation in final centre selection.

DELIVERED

A segment-level enrolment trigger map , a ranked channel influence framework by city tier, and a fee corridor showing the price bands at which parent willingness to switch platforms dropped sharply across income segments.

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 offline center students, live online students and self-paced online students?

How will you measure brand preference beyond simple ratings?

Will the survey map the full tutoring selection journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our enrollment conversion and retention rates?

Still have questions?

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

Book a Discovery Call

  • Growth lead, Tier 2 expansion
  • You're likely facing...

    • Brand recall gap: results vs fees
    • Drop-offs at trial class stage
    • Coaching chains = credible/rigid perception
    • Online tutors = flexible/unproven perception
    • Referral switching post-result season

    This will help answer...

    • Preference drivers beyond pass rates
    • Enrollment drop-off stage
    • Segment split: board vs competitive prep
    • Fee sensitivity vs result expectation
    • Switching triggers post-exam cycle
    Fee sensitivity bands
    OPTIONAL
    CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
    Best for
    1
    Parents in Tier 3 towns with low digital access
    2
    Quick quota fill across multiple exam-prep clusters
    Deliverables
    Tier coverage report
    Call-log diagnostics
    SELECTIVE
    Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
    Best for
    1
    High-spend families enrolling in premium coaching institutes
    2
    Contextual mapping of local tutoring centre ecosystems
    Deliverables
    Cluster insights
    Rich enrollment maps
    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 quant layer, targeting parents of board-exam students across Tier 1 and Tier 2 cities, supported by CATI to fill quotas in low-digital Tier 3 markets.
    Consider adding: F2F interviews with high-spend families enrolled in premium coaching institutes, plus a focused FGD layer to pressure-test brand messaging and result-attribution claims.
    Confirm approach
    Request timeline