CO-WORKING & ENTERPRISE REAL ESTATE

Co-working Location & Enterprise Client Strategy Study

Understand how enterprise real estate heads, workplace strategy leads, and procurement teams evaluate, compare, and choose co-working locations across lease flexibility, amenity fit, and cost structure, so you can sharpen acquisition targeting, refine pricing tiers, and convert enterprise accounts faster.

Pan-India sample
Enterprise workspace decision-makers (Real Estate and Procurement Heads)
15-20 min
Talk to a Survey Consultant
Location selection & conversion gapsIdentify where enterprise clients stall, compare operators, or exit negotiations.
Pricing tiers & lease flexibilityBenchmark seat pricing, contract length preferences, and expansion trigger signals.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most co-working operators don't lose enterprise clients purely on desk rates. They lose them due to mismatched location footprints, inconsistent meeting infrastructure, fragmented IT provisioning, opaque billing structures, and weak account management, none of which fully show up in occupancy dashboards or CRM renewal data.

If you are...

  • Flex operator, enterprise portfolio
  • Operator vs managed office competition
  • Location strategy or expansion head
  • Enterprise sales or account lead
  • Real estate or workplace strategy team

You're likely facing...

  • Location fit: city tier vs demand
  • Enterprise drop-off: contract renewal stage
  • Flex = affordable/inconsistent perception
  • Managed offices = premium/inflexible perception
  • Seat expansion blocked by footprint gaps

This will help answer...

  • Location drivers beyond price
  • Contract drop-off stage
  • Enterprise segment by city tier
  • Pricing tolerance vs service expectations
  • Renewal triggers and switching signals

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete enterprise client journey from location discovery to long-term contract renewal.

TENETS 01

Location Discovery

  • Initial search triggers, channels
  • Proximity vs. transit access priority
TENETS 02

Operator Selection

  • Shortlisting criteria, deal-breakers
  • Brand reputation vs. space quality
TENETS 03

Space Configuration

  • Dedicated vs. flex seat mix
  • Private cabin, open floor demand
TENETS 04

Contract & Pricing

  • Seat pricing benchmarks, tenure terms
  • Billing model flexibility expectations
TENETS 05

Enterprise Onboarding

  • Move-in timelines, readiness gaps
  • IT setup, compliance documentation
TENETS 06

Service & Retention

  • Account management responsiveness
  • Renewal triggers, churn signals
TENETS 07

Multi-City Expansion

  • City prioritisation, rollout sequencing
  • Centralised vs. local procurement model
TENETS 08

Competitive Benchmarking

  • Operator share of wallet, switching history
  • Peer benchmarks, industry norms

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?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Co-working Location and Enterprise Client Strategy Study, 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 location attributes by enterprise decision-makers
2
Measuring seat-tier preferences across client segments
3
Benchmarking lease conversion rates by city cluster
Deliverables
Location preference matrix
Segment priority ranking
Conversion gap index
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Real estate heads with low survey response rates
2
Quick coverage across Tier 2 enterprise markets
Deliverables
Enterprise coverage map
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Large enterprise accounts requiring multi-city lease validation
2
High-value flex portfolio clients in strategic corridors
Deliverables
Cluster site insights
Enterprise journey maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Proposition 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 enterprise real estate heads and workplace strategy leads across metro and Tier 2 markets.
Consider adding: CATI for enterprise accounts with low digital survey uptake, and F2F for high-value clients in strategic co-working corridors where lease commitment decisions require direct validation.

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)
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  • Armenian Dram (AMD)
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  • 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)
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  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
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  • Botswana Pula (BWP)
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  • Macanese Pataca (MOP)
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  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
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  • 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)
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  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
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  • Tunisian Dinar (TND)
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  • 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 flexible workspace and enterprise real estate space.

CASELET 1

Enterprise seat allocation & flex space vendor preference (India)

CASELET 2

Flex workspace messaging & positioning audit for mid-market tenants (NCR)

Enterprise seat allocation & flex space vendor preference (India)

OBJECTIVE

A pan-India commercial real estate operator needed to map how large enterprise procurement heads and facilities managers shortlist flex space vendors, and which contract terms, seat configurations, and amenity tiers drive final vendor selection over managed office alternatives.

WHAT WE DID

Ran a structured quant survey across 180 enterprise accounts in six cities, capturing vendor shortlist criteria, seat-count thresholds, lease flexibility requirements, amenity priority rankings, and willingness to consolidate multiple city requirements under a single flex operator.

DELIVERED

A vendor selection criteria map ranked by enterprise segment, a contract term preference corridor by company size, and a friction list identifying the 4 decision barriers that most frequently stall enterprise sign-off at the procurement stage.
CASELET 1

Enterprise seat allocation & flex space vendor preference (India)

CASELET 2

Flex workspace messaging & positioning audit for mid-market tenants (NCR)

Enterprise seat allocation & flex space vendor preference (India)

OBJECTIVE

A pan-India commercial real estate operator needed to map how large enterprise procurement heads and facilities managers shortlist flex space vendors, and which contract terms, seat configurations, and amenity tiers drive final vendor selection over managed office alternatives.

WHAT WE DID

Ran a structured quant survey across 180 enterprise accounts in six cities, capturing vendor shortlist criteria, seat-count thresholds, lease flexibility requirements, amenity priority rankings, and willingness to consolidate multiple city requirements under a single flex operator.

DELIVERED

A vendor selection criteria map ranked by enterprise segment, a contract term preference corridor by company size, and a friction list identifying the 4 decision barriers that most frequently stall enterprise sign-off at the procurement stage.

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 small enterprise accounts, mid-market enterprise accounts and global enterprise accounts?

How will you measure location selection decisions beyond simple ratings?

Will the survey map the full enterprise workspace procurement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our enterprise account acquisition and retention rate?

Still have questions?

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

Book a Discovery Call