The wait problem
Sets the scene: the specific long wait this merchant sold into, and the pressure of where-is-it questions that built while orders sat in production. Drawn from their real Day-0 baseline, not before it.
written from cohort one
Case study · sample template
Case study:[Your brand here]
The one line your pilot earns lands right here.
[CASE STUDY PLACEHOLDER — refund-reduction delta, post first completed cohort]
When the first cohort closes, the outcome slot above holds one measured result, stated against that merchant’s own Day-0 baseline. Until then it stays a placeholder. Everything below shows the shape of the finished page.
The merchant
Who this pilot was, in their own numbers.
- Category
- what they sell
- Backers waiting
- how many are in the queue
- Wait window
- their promised production window
- Channel
- Kickstarter, BackerKit, or store
Day 0 vs. Day 90
The four numbers this page will settle.
Each metric is captured before Tideover touches a thing, then again ninety days in. The names are the real product metrics. The values fill in from the cohort, measured, never rounded up.
Median first reply time
How fast the first approved reply reaches a waiting customer.
Day 0 baseline
fills from cohort
Day 90
fills from cohort
WISMO contacts per 100 orders
How many where-is-it messages you field for every hundred orders in flight.
Day 0 baseline
fills from cohort
Day 90
fills from cohort
Status-page deflection
Share of where-is-it questions the self-serve order page answers before the inbox does.
Day 0 baseline
fills from cohort
Day 90
fills from cohort
At-risk order saves
Orders flagged likely to refund that stayed after a timed, goodwill-backed reach-out.
Day 0 baseline
fills from cohort
Day 90
fills from cohort
The arc
Three sections, written once the wait plays out.
What Tideover did
Documents which surfaces went live, the reassurance inbox, the branded status page, the timed goodwill reach-outs, and the cadence customers actually felt across the wait.
written from cohort one
What changed
Reports the measured movement against the Day-0 baseline once the cohort closes: the four metrics above, side by side, with real figures and nothing dressed up.
written from cohort one
In their words
[CASE STUDY PLACEHOLDER — refund-reduction delta, post first completed cohort]
A real quote from the pilot founder replaces this block. We publish it verbatim, with their name and brand, only after they sign off.
Be the case study.
The first founding pilot fills every slot on this page. You bring the wait; we run the reassurance layer and measure it straight against your Day-0 baseline. The numbers we publish are yours.