Trends over time
Watch performance move. Wakeline charts starts and completions by day, so you can see momentum build — across the last 7 days, 30 days, or all time.
Daily breakdown
Starts and completions plotted day by day.
Flexible ranges
Last 7 days, 30 days, or all time.
See the impact
Spot the lift right after you ship a change.
Live in three steps.
Open analytics
Go to a guide's report.
Pick a range
7 days, 30 days, or all time.
Read the trend
See where things are heading.
Catching a silent breakage with a day-by-day chart.
Totals hide timing. A guide with 4,000 starts looks fine as a number — the trend chart is what shows you it died two weeks ago. This walkthrough is the diagnostic habit worth building: baseline, spot, correlate, confirm.
Baseline the healthy shape
Your activation tour's daily chart shows steady weekday starts, quiet weekends — the normal heartbeat. You do not memorize it; you recognize it.
Spot the cliff
Switch from 7 days to 30: starts flatline on the 14th. Nothing announced it — totals kept growing, just slower. The chart makes the invisible obvious.
Correlate with what shipped
The 14th was the release that renamed your signup route — the tour's URL trigger no longer matches. Update the trigger, republish.
Watch the recovery
The next days rebuild the old shape. Keep the 30-day window as your default review — long enough for patterns, short enough to spot cliffs fast.
What to expect: You catch breakages in days instead of discovering them in a quarterly review. The same chart also shows the happy version: completions climbing after a fix, launch-day spikes, adoption compounding — direction, at a glance, without a query language.
When not to use trends over time.
No pattern fits every job. Here’s where we’d point you at something else — sometimes ours, sometimes not.
Day-one verdicts
A two-day-old guide has no trend — it has two dots. Give a flow a week of data before reading direction into the wiggle.
Sub-daily forensics
The chart is day-granular. "What happened at 3pm during the incident" is a job for session replay or your own event pipeline, not a daily trend line.
Cross-guide comparison
One chart per guide answers "how is this one doing over time". For "which of our thirty guides is best", use the Insights table — sortable completion rates across every flow at once.
What exactly is charted?
Starts and completions per day for the selected flow, over the last 7 days, 30 days, or all time. Two lines, one guide — deliberately simple enough to read in three seconds.
Why do my charts dip every weekend?
Because your users do — B2B products breathe in weekdays. That rhythm is the healthy baseline; the signal worth acting on is a dip that ignores the calendar.
Can I see trends across all guides at once?
Insights aggregates project-wide starts, completions, and average completion for the window, with the per-guide table for drilling in. The per-flow trend chart is the zoom lens; Insights is the map.
How fresh is the data?
Events flow through the pipeline continuously — today's activity appears as today's point builds. For real-time "is it firing right now" checks, watching the numbers move beats waiting on any chart.
Can I export the underlying daily data?
Yes — the warehouse export in Settings streams your raw guide events as NDJSON or CSV, with ready-made load snippets for BigQuery and Snowflake. Rebuild any chart, join against your own metrics, or feed a BI dashboard from the same events the trend line is drawn from.
See it on your own app.
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