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Growth Loops · Session 02 · Dates TBD

First Value

Find activation and remove one barrier to first value

Ship AIPhoenix, ArizonaPress → to begin

Ship AIFirst Value01/19

Completing onboarding is not the same as receiving value.

Activation is an early behavior worth caring about because it is plausibly connected to a later customer outcome.

Ship AIFirst Value02/19

Tonight

  1. 01Define activation as an early prediction, not a checklist
  2. 02Compare candidate behaviors with later retention
  3. 03Build the signup-to-value funnel and elapsed-time view
  4. 04Segment only where the product decision may differ
  5. 05Separate avoidable friction from useful setup and poor fit
  6. 06Ship one narrow activation change
  7. 07Write the metric, guardrail, window, and decision rule first
Ship AIFirst Value03/19

Where we are

  1. Session 01Instrument the Journey
  2. Session 02First Value
  3. Session 03Repeat Value
  4. Session 04Read the Curve
  5. Session 05Before They Leave
  6. Session 06Close the Loop

The journey is instrumented. Tonight uses that trustworthy baseline to find first value; session three asks whether customers have a reason to repeat it.

Ship AIFirst Value04/19

Act one

Find the signal

An activation event should happen early enough to change and connect to an outcome far enough away that the signal matters.

Ship AIFirst Value05/19

Milestone versus value signal

Easy to count

  • Account created
  • Welcome tour completed
  • Profile filled out
  • Three pages viewed
  • Onboarding dismissed

Worth testing

  • Useful data connected
  • First result created
  • Result shared with its audience
  • A collaborator completes a related action
  • The core job succeeds once

The right column is still a set of hypotheses. Test whether each behavior has coverage, happens early, and separates later outcomes.

Ship AIFirst Value06/19

Choose the activation candidate with evidence

TestQuestion
Outcome linkCompare later retentionDo performers return more often?
CoverageShare of eligible new accountsCan most good-fit customers reach it?
TimingMedian and distributionDoes it happen early enough to influence?
SpecificityCompare non-performersDoes it separate, or merely reflect heavy users?
ActionabilityMap product leversCan the team help without gaming it?

Association is a filter for candidates, not proof that forcing the event will create retention.

Ship AIFirst Value07/19

Exercise: test candidate moments

~/your-product

compare first-7-day behaviors → week-4 return

candidate A: common, weak separationcandidate B: strong separation, low coveragecandidate C: useful share, plausible + reachableactivation v1 selected; caveat recorded

Create cohorts for each early behavior and compare the same later outcome. Inspect sample size, eligibility, and segment mix before choosing the first working definition.

Use enough history to cover the natural return interval. If the product is young, keep the definition explicitly provisional.

Ship AIFirst Value08/19

Act two

Map the path to value

The funnel shows where customers stop. Elapsed time and session boundaries show how difficult the journey actually feels.

Ship AIFirst Value09/19

Illustrative signup-to-value funnel

  1. Signed upeligible new workspaces
  2. Created workspaceowner completed setup82%
  3. Connected datausable connection71%
  4. Created resultsaved useful output72%
  5. Shared resultactivation candidate64%

Illustrative values only. Build the baseline from eligible customers and show the elapsed time between stages, not just completion percentages.

Ship AIFirst Value10/19

Time to value has more than one clock

  1. Active timeMinutes the customer is actually working in the product.
  2. Waiting timeImports, approvals, or processing that the system owns.
  3. Human handoffA teammate or admin must act before progress continues.
  4. Return gapThe customer leaves and must remember to come back.

A two-day activation path can be healthy when value naturally requires collaboration. Diagnose which clock owns the delay before trying to remove it.

Ship AIFirst Value11/19

Not every step is friction

Remove or repair

  • A field the product never uses
  • An error with no recovery path
  • A choice before the customer has context
  • Repeated setup the system could remember
  • A wait the interface does not explain

May create value

  • Connecting the real data source
  • Inviting the person who owns approval
  • Choosing a meaningful first template
  • Confirming a consequential action
  • Learning that the product is not a fit

Reducing clicks can reduce activation when the removed step supplied the context or input that made the outcome useful.

Ship AIFirst Value12/19

Act three

Ship one activation change

Change the highest-leverage step you can plausibly improve without rebuilding the entire onboarding experience.

Ship AIFirst Value13/19

Match the intervention to the failure

Product moveUse when
Better defaultPreselect a common good pathChoice cost is blocking progress
Example stateShow a useful completed resultThe blank product hides the payoff
Progressive setupAsk for context when it becomes usefulFront-loaded setup delays all feedback
RecoveryExplain and preserve work after failureErrors restart the journey
Human handoffRoute the right teammate into the taskActivation requires another role

Ship the smallest change that tests the diagnosis. Do not replace the journey before learning which part mattered.

Ship AIFirst Value14/19

Write the experiment contract before the result

DefinitionIllustrative contract
HypothesisCause and expected effectExample state helps eligible teams reach first share
PrimaryOne decision metricActivation within 7 days
GuardrailA cost we will not trade awayError rate and permission reversals
AudienceWho can be affectedNew eligible workspaces only
WindowWhen the result can be readOne full activation + return cycle
DecisionShip, revise, or stop ruleWritten before the first comparison

Do not change the activation definition after seeing which version won. Version the definition separately from the experiment.

Ship AIFirst Value15/19

Live build: change one step and verify the measurement

~/your-product

baseline → ship change → replay events

eligible audience rule verifiedactivation event unchangedguardrail events firingwrote 02-activation/experiment-readout.md

Ship the intervention, complete the journey in both expected and failure states, and confirm the exact event stream still matches the activation contract.

The first result tonight is not statistical certainty. It is a clean baseline, a bounded change, and a readout that will not move the goalposts later.

Ship AIFirst Value16/19

Activation is a learning loop

one barrier
  1. 01Define the early value signal
  2. 02Find the highest-leverage barrier
  3. 03Ship one narrow intervention
  4. 04Read activation, retention, and guardrails

Activation is not finished when the early metric rises. The later retention outcome decides whether the signal remained meaningful.

Ship AIFirst Value17/19

First value is a customer outcome, not an onboarding step.

Ship AIFirst Value18/19

Next

Repeat Value — Session 03, Workuity Biltmore

Next session defines healthy engagement at the product's natural rhythm, finds what retained customers repeat, and builds the next useful action into the experience.

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