From rough idea to structured hypothesis - what's your process?

Question

How do you manage your CRM experiment backlog?

I'm a CRM manager at an e-commerce marketplace. Every week I have more campaign ideas than time to run them, but the hardest part isn't execution - it's getting from a rough idea to a properly scoped hypothesis with a segment, trigger, metric, and expected effect)

Right now it lives in a mix of Google Sheets, Slack threads, and markdown files. No structure, no prioritization framework, no way to see if I've already tested something similar

Curious how others handle this: do you have a system for structuring and prioritizing hypotheses before launch? Or is it mostly intuition + whatever's loudest in the room?

dandoesmarketing · Answer

I use Miro to map every canvas against the entire customer journey so I can see coverage at a glance, which phase each one supports and where the gaps are. That doubles as my "have I tested this already" check. If it is on the board, it exists, so nothing gets duplicated. Miro is lifecycle marketer's best friend.

Second, and this is the bit that fixed the scoping problem, every idea gets written up the same way before it goes near a build:

* Segment: who
* Trigger: what fires it
* Hypothesis: if we do X for this segment then Y happens because Z
* Primary metric: the one number that proves it
* Expected effect: rough size, a guess is fine

Then I score each on impact, confidence and effort (or weight it by revenue if you are commercially driven) and the backlog sorts itself. Loudest in the room stops winning because everything sits on the same scale.

Quick example. Say the goal is membership conversions and I spot there is no upsell in the welcome journey:

* Segment: first time buyers, no membership
* Trigger: 24h post first order
* Hypothesis: if we add a member upsell on email 2 for first time non member buyers, membership conversion in 14 days lifts because they are at peak intent right after purchase
* Primary metric: membership conversion rate within 14 days
* Expected effect: small to start but compounds over time
* ICE (impact, confidence, effort): impact 8, confidence 8, effort 3, so it scores high and jumps the queue

Also kills the Sheets plus Slack plus markdown sprawl, because everything lives in one place, and using a Miro board allows for a better visual display of what you've already shipped.

ashleyatbraze · Answer

Great question — we've landed on a two-part system: one for planning what to test, one for capturing what we learn.

On the planning side, we anchor each quarter to one clear theme — something like "let's focus on personalization" or "let's try messaging differently for technical vs. marketing audiences." We track it in a Google Sheet, but the structure is what really matters. Without a theme, you end up with a pile of individually good ideas that are hard to connect back to what's actually moving your key metrics.

For results, we use two things in tandem. First, a running Google Slides deck where each test gets one slide — what we tested, the result, and the winner if there was one. A summary slide up front gives us a quick "what's working / what's not" view and helps us revisit inconclusive tests rather than just abandoning them. More recently we've also started feeding experiment notes into NotebookLM so we can query things like "have we tried X before?" — really useful as the team grows and you don't want that knowledge living in one person's head.

We've been refining this for a couple of years and it's scaled well beyond lifecycle — now anyone on our marketing team who sends to prospects or customers can use some version of it. Curious what your current setup looks like!