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Growth relationships

Growth Nouns and the relationships that start from them, each read as a sentence from both ends.

Each Relationship below starts from one of these Nouns and reads from both ends: its predicate one way, its inverse the other. Relationships lists the most connected Nouns and every area.

  • Ad promotes one Offerinverse promotedByEach Ad sells one Offer.
  • Ad targets many Audiencesinverse targetedByAn Ad is shown to the people its Audiences select.
  • Campaign advances one Goalinverse advancedByA Campaign spends its budget and window toward one Goal.
  • Campaign runs many Adsinverse runInA Campaign places Ads that share its budget and window.
  • Channel hosts many Threadsinverse hostedInA Channel holds Threads.
  • Contact becomes one Customerinverse contactA Contact becomes a Customer on accepting an Offer.
  • Contact enrolledIn many Sequencesinverse enrollsA Sequence runs for an enrolled Contact until a reply, a purchase, or another exit Event ends it.
  • Contact gives many Consentsinverse givenByA Contact grants Consents, each for one Purpose, with its basis and expiry.
  • Contact resolvesTo one Personinverse contactsEach Contact is one Startup’s view of a Person shared across every Startup that knows them.
  • Contact worksAt one Organizationinverse peopleA Contact works for one Organization, as this Startup knows it.
  • Conversation awaits one Workerinverse conversationsOne Worker owes each Conversation its next answer.
  • Conversation raises many Threadsinverse raisedInThe intake Threads a support Conversation opens, each deadline counted from the Conversation’s first Message.
  • Conversation reports one Issueinverse conversationsThe Issue or Incident a Conversation reports; resolving it answers every linked Conversation.
  • Customer accepts many Offersinverse acceptedByA party becomes a Customer by accepting any Offer, at any price including zero.
  • Customer acquiredBy one Acquisitioninverse customersA Customer inherits the Acquisition of the Lead it was; Metrics and payouts read this one row.
  • Customer holds many Entitlementsinverse heldByA Customer’s Entitlements are what it may do right now, granted by the Offers it accepted.
  • Customer maintains many Subscriptionsinverse subscriberA Customer holds Subscriptions, each billed once per Period.
  • Customer opens many Conversationsinverse customerThe Customer a Conversation serves, so every answer reads that Customer’s records.
  • Customer owns one Tenantinverse ownedByEach Customer has one Tenant: the partition of the Startup’s data that no other Customer reads.
  • Customer places many Ordersinverse placedByA Customer commits to one-time purchases as Orders.
  • Customer saves many Payment Sourcesinverse savedByA Customer saves the Payment Sources its Orders, Subscriptions and Invoices charge; each belongs to one Startup and never moves to a sibling.
  • Deal courts one Organizationinverse dealsEach Deal has one buying Organization on the other side.
  • Deal issues many Quotesinverse issuedInA Deal sends Quotes, each a priced proposal valid until a date.
  • Deal pursues many Offersinverse pursuedInA Deal asks one buyer to accept one or more Offers.
  • Demand Budget pays many Playsinverse paidByA Demand Budget’s spend buys demand Plays.
  • Demand Budget recordedAs one Decisioninverse recordsEach Demand Budget is committed as one Decision, read again when it closes.
  • Enrollment follows one Sequenceinverse enrollmentsThe Sequence whose steps this Enrollment walks, one step at a time.
  • Enrollment runsFor one Contactinverse enrollmentsThe Contact this run belongs to; pausing one Contact’s nurture pauses this Enrollment.
  • Experiment assignsWith many Flagsinverse assignsFlags split units across an Experiment’s Variants and log each assignment with its propensity.
  • Experiment measures many Metricsinverse measuredByOne primary Metric judges an Experiment’s Variants; guardrail Metrics stop it.
  • Experiment offers many Variantsinverse offeredByThe Variants the Experiment can assign, the control among them.
  • Experiment tests one Hypothesisinverse testedByEach Experiment settles one Hypothesis; many Experiments test one Hypothesis in turn.
  • Exposure meets one Variantinverse exposuresThe Variant the Flag assigned to this unit.
  • Funnel leadsTo one Offerinverse funnelsEach Funnel’s path ends at one Offer, after its landing Page, opt-in and Sequence.
  • Funnel nurturesWith many Sequencesinverse nurturesA Funnel follows up with each new Lead through Sequences after the opt-in.
  • Gathering admits many Registrationsinverse gatheringA Gathering admits Registrations up to its capacity, then waitlists the rest.
  • Handle publishes many Postsinverse handleEvery Post goes out from one Handle, so its reach and replies count toward that Handle.
  • Hypothesis slots many Hypothesesinverse slotOfThe five slot Hypotheses of a Founding Hypothesis, each with a Metric and a threshold.
  • ICP faces many Problemsinverse facedByAn ICP struggles with Problems: how they solve them today and what that costs.
  • Interview yields many Evidenceinverse yieldedByAn Interview captures quotes and commitments, each graded as Evidence.
  • Key Result measures one Goalinverse keyResultsA Goal is met when its Key Results reach their targets.
  • Key Result reads one Metricinverse readByA Key Result compares one Metric’s value against its baseline and target.
  • Lead acquiredBy one Acquisitioninverse leadsEach Lead keeps the Acquisition that first brought it, through either door: a Visit or an outbound reply.
  • Lead identifies many Visitorsinverse identifiedAsA Lead, once it gives an address, is tied to every Visitor id it used, one per device.
  • Mailbox belongsTo one Workerinverse mailboxEvery Worker, Agent or Human, has its own Mailbox.
  • Meeting advances one Dealinverse meetingsA Meeting moves one Deal forward.
  • Meeting bookedFrom one Meeting Typeinverse meetingsa Meeting booked from a link names its Meeting Type.
  • Meeting produces many Decisionsinverse madeInA Meeting records Decisions, each with its options, choice and reason.
  • Meeting Type booksInto one Availabilityinverse meetingTypeseach Meeting Type books into one Availability, and an Availability serves many Meeting Types.
  • Message postedIn one Channelinverse messagesEvery Message flows through one Channel.
  • Metric computedFrom many Eventsinverse feedsA Metric derives from Events and is never typed in.
  • Newsletter sendsFrom one Mailboxinverse newslettersevery issue sends from one broadcast Mailbox.
  • Partner reserves many Organizationsinverse reservedByAn Organization a Partner reserved before referring it, for the `partner.reservationWindow` Setting (90 days by default); outbound skips it.
  • Persona belongsTo one ICPinverse personasA Persona is one named role inside an ICP, such as its buyer or its admin.
  • Persona holds one Roleinverse personasThe Role whose Permissions a Persona signs in with, so an App compiles its Dashboards and Verbs from one record.
  • Play moves many Metricsinverse movedByA Play exists to move named Metrics, read before and after every run.
  • Play targets many Portfoliosinverse playsA Studio rolls a Play out across a Portfolio one cohort wave at a time, measured as an Experiment.
  • Play Mix allocates one Demand Budgetinverse allocatedByEach Play Mix version splits one Demand Budget across its paid Plays.
  • Play Mix runs many Playsinverse includedInA Play Mix names each Play the Startup runs this week, with its state, budget and stop rule.
  • Prospect acquiredBy one Acquisitioninverse prospectsA Prospect’s Acquisition names the outbound Play and Mailbox that first reached it.
  • Prospect convertsTo one Leadinverse convertedFromA Prospect becomes a Lead on first engaging, such as a reply or a Form submission.
  • Readout reads one Experimentinverse readoutsThe Experiment the result belongs to; the learn step drafts the next Variant from it.
  • Readout scores one Variantinverse scoredByThe Variant the number describes.
  • Referral earns one Commissioninverse referralThe Commission a Partner’s Referral earns on the revenue it brings, self-serve or through a Deal.
  • Referral madeBy one Partyinverse referralsThe Party who sends a Referral earns its reward.
  • Referral refers one Leadinverse referredByEach Referral sends one Lead to the Startup.
  • Referral sources many Dealsinverse sourcedByThe Deals a Referral opened; when one is won, its revenue earns the Partner’s Commission.
  • Registration names one Contactinverse registrationsEach Registration holds one Contact’s place; one Contact registers for many Gatherings.
  • Renewal renews one Subscriptioninverse renewalsEach Renewal decides one term of one Subscription; a Subscription has one Renewal per term.
  • Review evaluates one Offerinverse reviewsA Review evaluates one Offer; Reviews of a Product or Brand roll up through its Offers.
  • Sequence schedules many Messagesinverse scheduledByA Sequence sends Messages, each at its own step and wait.
  • Story compiledFrom one Hypothesisinverse storiesThe Founding Hypothesis whose slots the Story compiles from; a pivot recompiles it.
  • Story quotes many Interviewsinverse quotedInThe Interviews whose words the Story reuses.
  • Survey informs many Metricsinverse informedBySurvey answers compute Metrics, such as a satisfaction score.
  • Visit lands one Siteinverse visitsEach Visit arrives on one Site.
  • Visitor starts many Visitsinverse startedByEach Visit is one span of a Visitor’s Events on the Startup’s Sites and Apps.
  • Waitlist awaits one Offerinverse waitlistA Waitlist admits its Leads to one Offer once that Offer opens.
  • Waitlist holds many Leadsinverse waitsOnLeads wait on a Waitlist in the order its Setting ranks them.