AI Customer Research for Construction and Contech (2026)

Short answer: Construction is a research market defined by two facts: your customers are overwhelmingly small firms, and the people who use your product are not at a desk. That combination defeats panel recruiting and screen-share usability sessions alike. AI-moderated voice interviews work because a foreman can answer from a truck at the end of a shift, hands-free, in five minutes. A platform like Koji runs those conversations by voice or text, asks adaptive follow-up questions, and analyzes hundreds of them automatically, which is how you learn why the app the office bought is not being opened on site.

This guide covers what makes construction research structurally hard and the studies that work anyway.

Why Construction Research Is Uniquely Hard

The market is extraordinarily fragmented. US Bureau of Labor Statistics figures for the construction sector, NAICS 23, show 953,703 private establishments in the first quarter of 2026, against employment of 8,364 thousand in September 2026 on a seasonally adjusted basis. That is roughly nine employees per establishment across the sector. There is no short list of accounts to interview; your market is hundreds of thousands of small firms.

Your users are not at a desk, and often not indoors. Superintendents, foremen, and trade crews work on sites with noise, gloves, hard hats, and poor connectivity. A scheduled video call is close to impossible, a screen-share usability session is worse, and a long typed survey will not be completed on a phone in a site trailer. Research methods built for knowledge workers fail here on physical grounds.
The buyer, the user, and the payer are three different companies. On a single project the owner commissions, the general contractor coordinates, specialty subcontractors execute, and suppliers and architects shape specification. Software bought by a general contractor is frequently used by subcontractors who had no say and bear the cost of learning it. Interviewing only your buyer tells you nothing about adoption. See key informant interviews on why one respondent cannot speak for a chain like this.
Work is project-based, not continuous. Teams form for a job and disperse. Someone who used your product intensively for eight months may have no reason to open it again, which looks like churn and is actually project completion. Retention questions have to be framed around projects rather than calendar months or the numbers mislead.
Seasonality and weather distort every trend. Field activity swings with the season and the region. A dip in usage in February in the upper Midwest is weather, not product. Any research cadence that ignores this will attribute seasonal noise to whatever shipped most recently.

How AI-Moderated Interviews Fix It

Voice is the unlock, not a nice-to-have. This is the clearest case in B2B for voice-first research. A Koji voice interview is a hands-free conversation a foreman can have in a truck at the end of a shift or during a break, without typing, logging in to anything, or scheduling. Read AI voice interviews for how the mode works and voice versus text for when each wins.
Asynchronous, so site schedules do not block fieldwork. Participants answer when the work allows, across time zones and shift patterns. Nobody coordinates a calendar.
Depth without a moderator. The AI follows up rather than accepting the first answer. When a superintendent says the app is slow, Koji's interviewer probes it: walk me through the last time you tried to use it on site, and what you did instead. The answer is usually about connectivity or glove-operable controls, not speed.
Structured and qualitative in a single pass. Koji supports six structured question types, so one short study can both rank and explain. The types are open_ended, a free-form qualitative answer with AI follow-up probing; scale, a numeric rating; single_choice, pick one option; multiple_choice, pick one or more; ranking, to order items by preference; and yes_no for a binary. See the structured questions guide.
Short enough to finish on a phone. Because the interviewer adapts, a five to eight minute conversation can cover ground that a twenty-question form could not, and it does not require a keyboard.
Reach across the chain. The same study can run separately against owners, general contractors, subcontractors, and suppliers, so you can see where the four groups disagree instead of averaging them into a single misleading number.
Automatic analysis. Koji codes themes across every transcript and builds the report as responses arrive, with quality scoring that only consumes a credit for conversations scoring 3 or higher. A voice interview costs 3 credits and a text interview 1.

High-Value Construction Research Playbooks

1. Field Adoption: Why the Office Bought It and the Site Ignores It

The single highest-value study in construction software. Interview the crews, not the buyer. Use a yes_no on whether they opened the tool last week, a ranking question over the obstacles, and open-ended probes on what they do instead. The answer is usually some combination of connectivity, login friction, glove and sunlight usability, and a workflow that adds data entry without giving anything back.

2. The Split Buying Chain

Run parallel studies against owner, general contractor, subcontractor, and supplier respondents on the same decision. Where their accounts of the same process diverge is where your product is creating work for one party to benefit another, which is the most common reason construction tools stall after one project.

3. Bid and Estimating Workflow

Estimating is where margin is won and lost, and it still runs on spreadsheets, PDFs, and phone calls. Interview estimators about the last bid they assembled, step by step, including where they had to re-enter the same number. This maps a workflow nobody has documented accurately.

4. Specification and Product Selection for Building Products

If you manufacture materials or equipment, your real decision-maker may be an architect writing a specification, a contractor substituting on price, or an owner with a sustainability requirement. Separate studies for each role reveal which lever actually drives selection.

5. Safety, Incident, and Near-Miss Reporting

Underreporting is the defining problem. Interviews work better than forms here because the AI can ask why a near miss went unreported without the interaction feeling like an investigation. Keep these studies clearly non-identifying; see anonymizing customer interview data.

6. Project-Based Retention and Win-Back

Interview users whose project ended rather than treating them as churn. Ask what would make them bring the tool to the next job, which is the real renewal event in this industry.

Why Not Just Use a Survey?

A long form sent to a site email address is one of the lowest-yield instruments in B2B. Field staff frequently do not use company email during the day, they are on phones rather than laptops, and a twenty-question grid is unanswerable with gloves on. More importantly, a survey cannot follow up, and in construction the first answer is almost always too compressed to act on. Told that the app does not work on site, a survey records dissatisfaction; an interviewer finds out that the plan sheets will not load over a hotspot and the crew reverted to paper prints. Koji's quality scoring also distinguishes a considered answer from a rushed one and charges only for the former. For the general comparison see AI interviews versus surveys.

Getting Started

Pick the role you have never actually interviewed. In construction tech this is nearly always the subcontractor crew.
Choose voice as the default mode and keep the interview under eight minutes.
Write a short brief naming the decision; let the AI consultant draft the guide and add probes about what the person did instead of using your product.
Distribute through the channel that reaches the field: a text message, a QR code in the trailer or on equipment, or a link from the project manager rather than a corporate newsletter.
Frame retention questions around projects, and read results against the same season last year rather than last month.

A Worked Example: The Daily Report Nobody Filed

A construction management platform sees daily field reports submitted on only a third of active projects. The office-side dashboard is well reviewed and the general contractors who bought the product are satisfied, so the team assumes the problem is training and funds more onboarding.

They run a voice study instead, targeting foremen and superintendents on projects with low submission rates, with a ranking question over obstacles and open-ended follow-ups whenever someone mentions working around the tool. Thirty-one interviews land in four days, recorded from trucks and site offices. The obstacle ranked first is not training and not interface complexity: reports had to be submitted before leaving the site, where connectivity was worst, and a failed upload lost the entry. Crews had learned to write the report on paper and type it up the next morning, which meant it was often never typed up at all. The fix was offline capture with deferred sync, plus letting a report be filed the following morning without being flagged late. Submission rates roughly doubled, and no additional training was delivered.

A Note on Respecting Field Time

Construction participants are paid by the hour or working to a schedule with real financial penalties, so treat their time as the expensive thing it is. Keep interviews short, say honestly at the outset how long it will take, and never ask a crew member to do research during billable work without their employer's agreement. Avoid questions that could read as performance monitoring, because a foreman who suspects the study will be shown to their general contractor will give you the safe answer rather than the true one. Where the topic touches safety or incidents, make the non-identifying design explicit and visible. Studies that obviously respect these constraints get both higher completion and markedly more candour.

Frequently asked questions

How do you reach construction workers for research?

Not through corporate email. Reach the field where it already looks at a screen: a text message with a link, a QR code posted in the site trailer or on equipment, or a link forwarded by the project manager the crew already trusts. Keep the interview short and voice-first so it can be completed hands-free at the end of a shift. Distribution channel matters more than incentive size in this market.

Is voice or text better for construction research?

Voice, in most cases. Field participants are frequently gloved, outdoors, and holding something, so typing is impractical and a hands-free conversation is natural. Text is better in high-noise environments such as active demolition, and for office-side roles like estimators and project accountants. Offering both and letting participants choose usually produces the highest completion, since site conditions vary hour to hour.

Who should you interview: the general contractor or the subcontractor?

Both, in separate studies, and the subcontractor first if you have to choose. Construction software is routinely bought by a general contractor and used by subcontractor crews who had no say in the purchase and absorb the learning cost. Interviewing only the buyer explains the sale and tells you nothing about adoption, which is where these products usually fail.

How do you measure retention when work is project-based?

Frame retention around projects rather than calendar months. A user who stops after eight months may have simply finished a job, which is not churn. The meaningful renewal event is whether they bring your product to the next project, so ask that directly and treat project completion as a distinct state from abandonment in your analysis.

How does seasonality affect construction research?

Field activity swings sharply with season and region, so usage dips and sentiment shifts can be weather rather than product. Compare results against the same period in the previous year instead of the previous month, and record the region and trade for every participant. Running the same study at two points in a season is a cheap way to separate a real effect from a seasonal one.

How many interviews do you need in a fragmented market?

Fragmentation affects who you need, not how many. For one role and one question, patterns usually stabilise between fifteen and twenty-five interviews. The real requirement is coverage across trade, firm size, and region, because a twenty-interview sample drawn entirely from large general contractors will not describe the owner-operator firms that make up most of the market.

AI Customer Research for Construction and the Built Environment