User research inputs for product managers — done for you
Feeding real user evidence into a generated surface so templates answer jobs rather than guesses. Scoped as a standalone workstream or folded into a full product managers build.
from $2,650 as a standalone workstream · included in the Product Managers Build tier
- Inputs
- 4 evidence streams
- Deliverables
- 4
- Runs with
- Linear / Jira
What we actually do here
Query data tells you what people type. Research tells you why, and the why is what the template must answer. We run this as a fixed-scope workstream: 4 defined deliverables, one named approver, and a written handover at the end. It attaches to an existing product managers engagement or stands alone if that is the only piece you are missing.
- 1Audit
Support ticket and sales objection mining at scale
- 2Design
Session recording review focused on generated templates
- 3Build
On-page search analysis as a template gap signal
- 4Hand over
Lightweight validation tests before a family scales
- Synthesised evidence repository
- Template gap analysis per family
- Validation test plan and results
- Job statements linked to template blocks
What the first weeks look like
- Week 1
Scoping call and data review
We look at what product managers already hold — systems, exports, APIs — and score each axis for demand and defensibility.
- Week 2
Contract and template design
The data contract is written and the first template is designed against real rows, not placeholders.
- Weeks 3–5
First tranche live
750–1,750 URLs published with schema, internal links, sitemap entries and IndexNow.
- Weeks 6–9
Read, widen, hand over
Indexation and impression data decides what widens and what gets cut. Templates, gates and runbook transfer to you.
User research inputs — questions before you buy
Enough to write the job statements the template answers — usually a week of synthesis, not a quarter of study.
Programmatic SEO builds for other seats
Want the user research inputs for product managers surface scoped before you build it?
We'll audit the data source, size the first batch, set the performance budget and tell you honestly if programmatic is the wrong tool for your category.
