Selge for Head of Product
Ship what users want. Stop shipping what they asked for.
47%
of users rank reporting as their top unmet need
Ship this first
614
responses to a 1-question in-app poll in 48 hours
Statistically valid
8 wks
saved per quarter by pre-validating roadmap items early
No wasted sprints
Feature priority poll — Q1 planning
In-app, after 3rd login
“I've been waiting for CSV export for six months. That's the one thing stopping me from upgrading.”
Why head of product teams fly blind without surveys
01
You're validating ideas with the wrong people
User interviews are gold. They're also slow, biased toward engaged users, and impossible to scale. Most of your users never get asked anything.
In-app surveys reach the full user base, not just the ones who reply to your calendar invites.
02
You ship features. You don't know if they work.
Post-launch, the only signal is usage metrics. You don't know if the feature solved the problem it was built for.
Post-release surveys close the loop: did this solve your problem? What's still missing?
03
Roadmap prioritisation is a political process
Everyone on the team has an opinion on what to build next. Real user data ends the argument.
Feature interest polls give you quantified demand — not vibes — before the next planning cycle.
Set it up once. Get answers forever.
Deploy before scoping
Before writing a single spec, run a feature interest poll to validate real demand across your user base.
Close the launch loop
After shipping, trigger a post-release survey. Did it solve the problem? What's still missing?
Arm planning with data
Walk into the next planning cycle with quantified user demand. Stakeholder opinions become optional.
Survey use cases for head of product teams
The right question, at the right moment, for the decisions your team actually makes.
01
Quarterly product health snapshot
Once per quarter, shown to active users across key pages
Rotating 3-question survey: NPS, 'What's the most important thing we're missing?', 'What's the most valuable thing we've done recently?' Creates a consistent baseline.
02
Feature-level signal at scale
After every major feature release, shown to users who interact with the feature
Ask: 'Is this working the way you expected?' + open text. Closes the loop on every release without a research project for each one.
03
Market segmentation validation
On homepage, pricing page, or after signup — continuously
Ask: 'What's your primary use case?' or 'Which of these best describes your team?' Lets you segment all other survey data by use case.
What head of product teams measure
And how on-site surveys give each metric more signal and less guesswork.
Product NPS trend
NPS score tracked over time — are users more or less likely to recommend than last quarter?
A recurring NPS survey with consistent framing shows whether your product direction is building or destroying advocacy over time.
Feature value score
User-rated importance and satisfaction with specific product capabilities.
Post-release surveys on new features give you a feature-level value signal that goes into roadmap prioritization — not just usage metrics.
Things you can do this week
Create a feedback review ritual
Schedule a 30-minute survey review at the start of every sprint or planning cycle. Look at last month's responses as a team. Let the data inform the discussion before opinions do.
Make survey data available to everyone
Don't let survey responses sit in a dashboard no one checks. Pipe summaries to Slack or your team wiki. When engineers and designers can see user feedback, they make better decisions independently.
Use surveys to settle internal disagreements
When two teams disagree on a priority, a 2-week survey on the relevant page can resolve it with evidence. Better than a meeting.
Start with an expert survey, not a blank page
Each template includes guidance on when to deploy it, what trigger to use, and what to do with the answers.
When 55% prioritize one feature and your hero leads with another, you're selling the wrong thing to the right people.
Analytics tells you where visitors came from. This tells you why they showed up — and what job they're trying to do right now.
When 35% of visitors are cross-shopping one competitor, you build a comparison page. This survey builds your competitive strategy with zero research budget.