Canviq started as an internal tool. Before we productized the PMF survey system for B2B SaaS founders, we used it ourselves to measure product-market fit for Revoir, a privacy-first dating tracker iOS app we were building in parallel.
Why we built the tool before the product
We had a hypothesis: most consumer app founders know intuitively when they have traction, but they cannot quantify it for investors or use it to make roadmap decisions. We wanted to know our own PMF score before anyone told us we needed one. So we built a lightweight survey system, deployed it inside Revoir, and ran the Sean Ellis methodology on ourselves.
The initial score
Our first PMF survey run, across 67 responses from Revoir users who had logged at least two dates, returned a score of 31%. Below the 40% threshold. Not surprising for an early product — but the segmentation data was more useful than the headline number.
What the segmentation revealed
The "very disappointed" cluster clustered heavily around one persona: people in long-distance relationships or who traveled frequently for work. For this group, the date-logging feature was not a nice-to-have — it was how they maintained continuity across time zones and physical separation. The primary benefit they named was "remembering what we talked about," not "tracking our relationship," which is how we had been positioning the product.
That single insight changed our next two quarters of roadmap work. We rebuilt the memory and context features, not the timeline or calendar features we had been planning.
The second survey
Three months later, after shipping the memory features, we re-ran the survey. 89 responses. Score: 44%. We had crossed the threshold. The long-distance and frequent-traveler persona's share of the "very disappointed" segment had grown from 34% to 61%.
What we shipped next (Canviq)
We learned enough from running this on Revoir that we saw the tooling itself as a product. The experience of moving from 31% to 44% using segmented PMF data — rather than intuition or qualitative interviews alone — felt replicable for other early-stage founders. We packaged it as Canviq.
The origin story is relevant because it means our PMF methodology advice comes from having used it ourselves, not from theory. We are B2B SaaS founders who measured their consumer app's PMF, saw it work, and built the instrument for others to use. That is what E-E-A-T is supposed to mean in practice.