DataPlay
DATAPLAY FOR PRODUCT MANAGERS

Ship the right thing next. Validate it after.

The loudest customer email isn't the most-reached painpoint. Most teams ship the wrong fix on the loudest channel. DataPlay ranks every painpoint your users are actually hitting, then watches the trend bend, or not, after you ship.

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Spin up your first scorecard in under 10 minutes.

THE WORKFLOW

From feedback chaos to a backlog you can defend in a planning meeting.

GUT CHECK + LOUDEST EMAIL

Sprint planning today

  1. MonStitch together notes from yesterday's escalation, the CS Slack, the open AHA list.
  2. TueFight the eng lead over which P1 is real. Lose half the painpoint context in the rebuttal.
  3. WedWrite the spec on a hunch. Move on.
  4. Q-endNo one knows whether the fix actually moved the needle.
  5. Next QRepeat. The loud user wins again.
RANKED, GROUNDED, WATCHED

Sprint planning with DataPlay

  1. 0:00Open the scorecard. Painpoints ranked by intensity, reach, trend, and impact.
  2. 0:10Pick the area with strong signal and post-ship leverage. Defend it with citations.
  3. 0:30Spec it. Pull representative quotes straight in.
  4. Post-shipThe same painpoint keeps getting measured. Trend bends, or doesn't.
  5. Next planDecide off real evidence, not the loudest channel.

Sprint planning is still a judgment call. DataPlay does the part that's mechanical: collecting, ranking, and grounding the signal so the call is sharper.

VALIDATE AFTER THE SHIP

Did your fix bend the trend? Or did you just feel better for a sprint?

Same painpoint, same evidence stream, weekly tally. The trend before and after a hypothetical v2.4 ship. Sometimes the line bends. Sometimes it doesn't, and you'd want to know that too.

Week 0
v2.4 ship · Week 12
Week 24
PEAK INTENSITY
0.84
Week 12, just before ship
POST-SHIP TREND
−66% in 12 wk
weekly intensity rolling avg
REACH (90D)
~14K → ~3K
card volume on the same area
CONFIDENCE
Strong
60+ cards across 5 sources

Illustrative. Numbers drawn from realistic shapes observed in DataPlay product evidence; not customer data.

COVERAGE

Built for the next ship. And the one after that.

Painpoints tracked per project
6 to 60
scaled to product surface area; new painpoints surface as evidence accrues
Sources we fetch in full
12+
Reddit · HN · SO · GH · G2 · reviews · forums · changelogs · Zendesk · Intercom · Linear · Salesforce
First scorecard in
~10 to 60 min
from product add to first ranked research areas
Post-ship validation
Continuous
same painpoint, same evidence stream, weekly tally so you can see the trend bend
Verdicts grounded in
100%
every claim cites a source with a confidence label
Export targets
MCP · Notion · PDF · Markdown · share link · Slack alerts
research escapes the app
ALSO FOR
Founders
Validate the market before you commit a quarter.
PM teams
One surface. The whole team's mind.
Investors
Diligence in 1 hour, not 6 weeks.
Get started

Stop guessing what to ship. Start measuring what to ship next.

Self-serve. Add the products you care about. First scorecards land within an hour. Cancel any time.

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