Form templates
631 curated template types, each in many designs, plus 0 shared by the community. Open one to try it before you use it.
16 templates
App onboarding
- Fitness goal setupA coaching app's first run: a free-text goal sorted by AI into a training track, then schedule, kit and reminders, skipping what the app already knows.
- Language level and goalsPlaces a learner at the right level with a self-rating and a reason, then sets a daily target. Reasons recall a known first name and target language.
- Budgeting app setupPersonalises a money app without asking for account numbers: what the person wants money to do, how income arrives and what to watch, classified from a free-text worry.
- Sleep and meditation profileA quiet bedtime-app intake: what keeps the person awake, in their words, sorted into a programme, then wind-down timing and sounds.
- Habit tracker setupPicks a first habit, makes it tiny, anchors it to the day and sets how streaks should behave, with a returning user resuming mid-way.
- Creator and social interestsBuilds a social app's first feed from what a person makes, watches and wants to learn, with a short sentence classified into a creator type.
- B2B workspace setupSets up a team workspace: role and team size known from sign-up are skipped, a free-text job to be done is classified into a starter template, and invites come last.
- Developer tool setupGets an API or CLI product from sign-up to a first call: stack, environment and goal, with known stack and plan skipped and a goal classified into a quickstart.
- Marketplace buyer or sellerRoutes a new marketplace member down the buyer or seller path from the first tap, with different questions on each side and an attribute-aware referral nudge.
- Food delivery taste profileTeaches a delivery app what someone likes to eat, with spice and dietary limits, and a free-text craving classified into a first-order mood.
- Kids and family app setupA parent-first setup for a learning or play app: child age and interests, screen-time limits and a consent step, with the AI kept off for children's data.
- Travel planner onboardingLearns how someone travels before suggesting a single trip: pace, budget, companions and a dream trip described in a sentence and classified into a trip style.
- Reading and podcast tasteSeeds a reading or podcast app's recommendations with a favourite, a mood and listening habits, then picks a shelf by classifying what the person last loved.
- Health condition-aware onboardingA careful, consent-first intake for a wellbeing app: conditions shape what the app shows, sensitive answers are never sent to AI, and a stated worry is classified into a care track.
- Mobile game player typeFinds out how someone likes to play so the first session fits: session length, challenge appetite and a one-line play story classified into a player type.
- AI assistant personalisationA chat-style first run for an AI assistant: tone, work context and boundaries, with an AI follow-up after the main goal and a consent step before anything is personalised.