Always-on CX
continuousTriggered by customer moments: onboarding, support, churn, renewal. Runs continuously in the background. You set it up once.
Template library
Fieldwork comes with a library of pre-built studies for always-on CX, product research, and deeper periodic work. Pick a template, connect your participants, and your research programme is live in minutes.
Start free, explore the libraryTriggered by customer moments: onboarding, support, churn, renewal. Runs continuously in the background. You set it up once.
Triggered by product behaviour: feature use, activation, power user thresholds. Feeds your product team on a rolling basis.
Deeper periodic or episodic research (personas, JTBD, competitive landscape, concept testing). Pause between uses, activate when needed.
Every new workspace ships with these drafts: core CX and relationship studies, plus three NPS modes (relational, transactional, episodic). Connect participants and triggers when you are ready; until then they stay in draft like any other study.
Where new customers got confused, what nearly made them quit, and what exceeded expectations.
The real reason they left and the decision timeline: a conversation, not a survey.
How the customer relationship has changed over time, surfacing drift before it becomes churn.
Overall recommendation toward the company: score, top drivers with a recent example, and one change most likely to lift the score about one point.
Recommendation for one specific recent interaction: scope the touchpoint, capture a zero-to-ten style score for that leg alone, drivers, and one fix for next time.
Recommendation for an agreed time window: define the pulse scope and score, what changed versus baseline, and one leadership priority before the next wave.
You pick a vertical at signup. When that vertical has a pack, we add the full pack as extra draft studies on top of the universal programme (two studies for insurance, three each for e-commerce, traditional banking, automotive, B2B SaaS, and healthcare). Other industries are available to select; more packs ship over time.
What triggered the claim, where handling broke down or shined, and whether the outcome felt fair, with one concrete improvement request.
How renewal surfaced, whether they shopped around, what actually drove the decision, and how likely the next renewal is.
Why they looked at a product and walked away: motivation, evaluation depth, primary rejection driver, and what would make them reconsider.
The moment a major life change triggered a banking decision: timeline, information sources, trust signals, and one improvement for the next customer in their shoes.
What drove them toward or away from digital: channel tension moments, digital friction or wins, branch role, and switching intent.
What they intended versus what they actually did: intent, behaviour gap, barrier stack, and one support change that would have improved follow-through.
What made them comfortable enough to engage: first touch, trust signals, safety or privacy fears, and the single change that would most improve trust.
Where the system broke down from the patient perspective: journey goal, breakdown moment, emotional load, and one change to reduce friction for the next similar patient.
What stopped them at the moment of decision: cart context, primary stop reason, comparisons, and one change that could have converted the session.
Gap between expectation and reality after purchase, emotional outcome, and signals for repeat purchase versus return risk.
Discovery path, what they compared, how long the shortlist stayed open, what tipped purchase, and what would slow a future buy.
How brands get in and out of the shortlist: list origin, in-and-out dynamics, decisive signal at purchase time, and what a losing brand could have done differently.
The moment the dealership helped or killed the sale: visit goal, moment of truth, trust impact of staff behaviour, and one operational change to improve close rate.
Buyer's remorse versus advocacy: early ownership reality, ongoing pains or delights, recommendation intent, and what would make them switch next cycle.
Why they upgraded or did not: trigger, proof requirements, outcome drivers, and what would make the next expansion decision easier.
What changed between peak usage and today: peak behaviours, turning events, current workaround, and what could credibly reignite engagement.
Gap between signup intent and first value: expected outcome, first value moment, obstacles in between, and the single change that would shorten time-to-value most.
Fintech and payments · Research and insights agency · HR tech and people ops · Marketing and ad tech · Property and proptech · Legal tech · Education and edtech · Government and public sector · Professional services · Other
More vertical packs are in development. Sign up to use the universal programme and the packs above for supported industries.
See your libraryStep 1
During signup, you select your industry. We inject every universal draft plus the industry pack for that vertical when one exists. Everyone shares the same universal programme; pack size varies by industry (for example, two studies for insurance, three for e-commerce).
Step 2
Connect your participant source (customer list, product event, or manual invite). Your CX and product studies start running automatically.
Step 3
When a bigger question comes up (a persona refresh, a JTBD study, a competitive landscape), pick the template, configure it, and run it. Pause it when done.
What qualitative research is and when it gives you something surveys can't.
Read articleThe decisions that determine whether a study produces insight or noise.
Read articleHow AI-moderated interviews work and what makes them different from traditional methods.
Read articleTen interviews free. No card required. Your draft research programme is waiting.
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