Customer research and Australian expectations
See how Australian customer research should shape a digital transformation strategy before any system gets rebuilt. Book a session.
Quick answer: Customer research gives a digital transformation strategy evidence of what Australian customers actually expect, replacing internal assumptions about what should change.
- Digital Strategy
- Customer Experience Design
- Digital Transformation Planning
Quick answer
What role does customer research play in a digital transformation strategy?
It grounds a digital transformation strategy in what Australian customers actually expect, rather than what internal teams assume, reducing the risk of building the wrong thing well.
Additional Context
Research should happen before systems are selected, using data the business already holds plus direct customer contact, not as a one-off survey after launch.
Sources
- Australian Community Attitudes to Privacy Survey
OAIC research tracking how Australians view and respond to the handling of their personal information by businesses and government.
- Household Use of Information Technology
ABS data on how Australian households access and use online services and devices.
Digital Strategy
Why customer research comes before the roadmap, not after
A digital transformation strategy built only on internal assumptions about customers tends to solve the problems the project team finds interesting. Before any system gets replaced or any new channel gets built, the useful question is what Australian customers expect when they deal with the business right now, and where that expectation is already going unmet. Getting this wrong early surfaces months later as a rebuilt platform that performs well internally but still loses the same customers to the same friction points.
What Australian customers actually expect from a digital experience
Australian customers increasingly judge a business on how little effort a transaction takes and how clearly their data is handled, more than on visual polish. Retail and services businesses researching this properly start with customer touchpoint mapping across the channels customers already use, then test where that mapped journey breaks down against actual behaviour. A business selling across phone, in-store and online needs channel integration research specifically, because expectations set in one channel, like same-day stock visibility, now carry over to the others whether the systems are connected or not.
Digital Strategy & Customer Research
Customer Research Before Digital Transformation
Problem
Many digital transformation strategies are scoped around what the finance system, CRM or website platform can deliver, with customer expectations treated as an assumption rather than a measured input. The resulting rebuild often fixes internal friction while leaving the experience gaps that actually affect sales untouched.
Common Pain Points:
- Assumed expectations Strategy decisions made on what the team believes customers want, never tested against real behaviour.
- Siloed feedback Support tickets, churn exit surveys and sales call notes never reach the people designing the new system.
- Research skipped under deadline pressure Discovery gets compressed first when a project timeline slips, leaving the riskiest assumptions unchecked.
Business Impact:
Time Wasted: Discovery redone after launch, once real usage patterns contradict assumptions
Cost Implication: Rework cost from rebuilding features nobody asked for
Opportunity Cost: Customers who expected something simpler or faster move to a competitor first
Solution
Run structured customer research, combining transaction data, support ticket themes and direct interviews, before committing to a platform or workflow design, so the roadmap targets real friction.
Our Approach:
- Map current customer evidence(1-2 weeks)
Pull together transaction data, support tickets, churn reasons and any existing survey results already sitting across the CRM, helpdesk and finance system before commissioning anything new.
- Test assumptions directly with customers(2-4 weeks)
Run short structured interviews or on-site intercepts with customers who recently switched away, to identify the specific moment the experience fell short.
Expected Outcome: A transformation roadmap prioritised by what customers measurably struggle with, not by which system is easiest for the internal team to replace.
Key Takeaways
Customer Evidence Should Drive Transformation Priorities
- Existing data usually answers more than a new surveyImportant
Transaction histories, support tickets and churn reasons already held in the CRM and helpdesk often reveal the friction points new research sets out to discover.
- Australian customers weigh data handling as part of trustImportant
How a business explains and handles personal information increasingly factors into whether Australians continue dealing with it, per OAIC's privacy survey work.
- Channel expectations differ by how customers already transactImportant
A business selling through retail, phone and online channels needs research that spans all three, not just whichever channel the project team finds easiest to instrument.
- Research findings expire if a project stalls for monthsImportant
Customer expectations around speed and digital service keep shifting, so research completed well before a build starts often needs revalidating at delivery.
Customer research turns a digital transformation strategy from an internal rebuild into a response to measured expectations, reducing the chance of relaunching a system nobody asked to change.
Evidence On Australian Customer Expectations
Three sources indicate how privacy, device use and platform concentration shape what Australian customers now expect from a digital transformation strategy.
Factor in dealings
Privacy and trust link
Significance: highOAIC's Australian Community Attitudes to Privacy Survey tracks how Australians weigh a business's data handling practices when deciding whether to continue dealing with it.
Source: OAIC Australian Community Attitudes to Privacy Survey
Smartphone-first
Primary access device
Significance: mediumThe ABS Household Use of Information Technology collection tracks how Australian households access online services, with mobile devices representing a primary access point for many consumers.
Source: ABS Household Use of Information Technology
Named inquiry finding
Digital platform scrutiny
Significance: mediumThe ACCC's Digital Platform Services Inquiry examines how concentrated attention on a small number of platforms affects how Australian consumers discover and choose between businesses online.
Source: ACCC Digital Platform Services Inquiry
Methodology
Figures and findings are drawn from published Australian Government research, cited next to each point; no project-specific survey data is implied or claimed.
Customer Research
Gathering evidence that actually changes the roadmap
The research that moves a digital transformation strategy is rarely a formal survey. It is closer to a current state assessment that pulls together what the business already knows: transaction patterns, support ticket themes, cart abandonment points, and the specific wording customers use when they complain. Interviews with ten recently churned customers, conducted properly, usually surface more useful detail than a large survey with generic rating scales, because churned customers will explain exactly where the experience broke down.
Where the research gets skipped
Teams moving off a legacy order system or CMS consistently discover their research scope was wrong only once the build is underway, usually because customer interviews happened with whoever answered the phone, not the segment actually driving revenue. A retailer researching checkout friction needs input from mobile buyers specifically, since personalisation strategy decisions and channel design both depend on how that segment actually behaves. This is also where a project plan quietly loses weeks: research gets compressed into a single workshop when deadlines tighten, and the resulting roadmap then needs partial rework once real usage data contradicts the workshop's assumptions.
Customer Research Questions, Answered
What actually counts as customer research before a digital transformation strategy?
Useful customer research combines data the business already holds, such as transaction history, support tickets and churn reasons, with direct conversations: structured interviews with recent customers, including some who left. Formal surveys have a place but usually confirm patterns that transaction and support data already show, rather than revealing them first.
Why do digital transformation projects often fail to meet customer expectations?
Digital transformation strategies typically fail when the project scope is built around replacing a system, with the customer problem never directly measured. Teams ship a technically sound rebuild that still disappoints, because it solves for internal workflow efficiency while the friction customers actually experience around speed, clarity or channel switching was never tested.
What is a digital transformation strategy, in practical terms?
A digital transformation strategy sets out which systems, data flows and customer-facing processes need to change, and in what order, to meet a specific business objective. The practical version ties each stage to a measurable customer or operational outcome and sequences delivery so the business keeps trading normally throughout.
How do Australian customer expectations differ from what a project team assumes?
Project teams often assume customers want more features or a flashier interface. Australian customers more often report wanting fewer steps, clearer pricing and confidence their personal data is handled properly; OAIC's privacy survey work shows data handling now factors into whether people continue dealing with a business at all. Research usually surfaces this gap before launch, if it happens early enough.
How much customer research is enough before starting a digital transformation project?
Enough research means every major assumption behind the roadmap has been checked against real customer behaviour or direct customer input, not a fixed number of interviews or survey responses. For most projects that means reviewing existing transaction and support data plus a short, targeted round of interviews with a handful of recently churned or recently converted customers.
Should customer research happen before or during system selection?
Customer research should start before system selection, not after a vendor shortlist exists. Selecting a platform first tends to lock in assumptions about which customer problems matter, and research done afterward gets used to justify the choice rather than to test it, which defeats the purpose.
