Hi everyone!
I’ll post this on a couple channels, because I figured out a Google Sheets workaround to this question and A) it’s solving our need and B) it’s a beastly formula and I’m proud of myself.
Our use case, in case yours differs: we wanted to know how long it was taking our Deals to move from Signed Contract to Live, inclusive of Deals that hadn’t yet gone live. We wanted the total count. Maybe we’re really good at signing clients, and maybe we’re really good at getting 20% of our signatures live in two weeks, but if 80% of our clients are languishing in implementation limbo, we really want to know.
Hubspot counts Time in Deal Stage as a static number -- it tracks the time in deal stage once a deal has moved on to the next stage, so we couldn’t get the dynamic number (“Deal X has been stuck in Signed Contract for 200 days”) without a couple workarounds.
Here’s what I did:
1. I filtered my Deals view appropriately, including the correct pipeline and these three fields: Signed Contract Date, Option A Go Live, and Option B Go Live (there are two ways to take our product live).
2. I emailed the view to myself and downloaded the .csv file.
3. I uploaded the .csv to Google Sheets and scrubbed it of unecessary data (you could do this in Excel too, of course).
4. And bam, I had a list of all clients with a Signed Contract date and either a Go Live date or no Go Live date, which meant they were stuck.
5. I went on a 10-day spirit quest to learn how to use the DATEDIF formula in a nested IF statement. If you didn’t major in English like I did you can probably do this faster.
6. I figured out how to use one formula to calculate either the time between Signed Contract and Live or the Signed Contract and Today. (hint; there’s a TODAY() formula as well).
That gave me my magic. Now I weekly go through those steps (I created a template to make it easier) so that we can track our averages over time. We just have a weekly snapshot of where we sit.
If you want to see or steal the formula I’ve created a public Google Sheet here with some data in it.
Solving this puzzle has been extremely rewarding to me -- it’s unlocked some insights that we never had as a company. I hope this helps someone else. Enjoy!