Build the right thing next.
Skip the costly mistakes.
DataPlay tracks the products you care about across hundreds of sources where your customers actually talk. We collect the evidence and rank every painpoint by signal, reach, intensity, trend, and impact. Now the whole team can see what's a priority and what needs attention.
Free workspace · No card needed · First signal in 3 minutes
- gapPricing tiers unclear at upgrade18
- confusionDiscount math doesn't match invoice14
- switchingCustomers leaving for flat-rate competitors8
- gapPricing tiers unclear at upgrade18
- confusionDiscount math doesn't match invoice14
- switchingCustomers leaving for flat-rate competitors8
Often, companies build on opinion, not evidence, and not on what customers are actually asking for.
Sprints go to the wrong fix. The painpoints users are actually talking about stay buried in threads, tickets, and reviews no one's reading.
- Wk 1Audit internal priority docs. Half are stale, half don't reflect this market.starts
- Wk 2Skim forums, GitHub, Stack Overflow, G2. Open more tabs.·
- Wk 3Map which internal sources even exist. Different team, different tool.·
- Mo 2Cross-ref tickets, support volumes, internal wikis by hand.·
- Mo 3Audit competitors. Hand-write the doc.ships
- laterSnapshot. Signals already moved. Some never made it in.stale
- Day 1Spin up a scorecard for any product. We do the first sweep.<24h
- Day 2Evidence clusters into research areas. Signal labels what's strong vs forming.auto
- DailySources refresh. Ranges (signal · reach · trend · impact) tighten as evidence accrues.auto
- DailyCompare across products. Same painpoint, two vendors, side-by-side.live
- DailyClick any value, see the source, defend it in a review.live
- NowLive, dynamic, sourced. Signals can't slip past you.·
Reach, intensity, trend, and impact rank the painpoints worth a sprint, not just the loud ones. The right thing rises to the top.
Same painpoint, same evidence stream, weekly tally. See whether your fix bent the trend or didn't, instead of guessing.
Same painpoint, two vendors, side-by-side. Apples-to-apples evidence instead of subjective competitor decks.
The painpoints, surfaced. The right one, ranked first.
You see what your customers are saying without missing any signal. The gist comes through, and every claim is traceable to the source.
Four things that separate DataPlay from a chat box and a research doc.
Generic LLMs hallucinate. Analyst reports go stale in 90 days. Battlecard tools serve sales. DataPlay sits in the gap: a continuous, ranked, sourced surface for anyone deciding what to ship next.
Continuous, not quarterly.
Pain points and competitor moves change weekly. We crawl on a continuous cadence so your view of any product evolves day by day, not in 90-day chunks.
Grounded, not snippet-based.
Our agents fetch full page content from forums, GitHub, reviews, and changelogs, not search snippets. Every claim links to its source and is tagged Gap, Confusion, or Workaround.
Clustered, not card-by-card.
Raw cards are noise. We cluster them into research areas, score the signal across reach, intensity, trend, and impact, and rank what's worth a sprint. You get a verdict, not a feed.
Comparative, not single-product.
Watch the same painpoint across competing products in one frame: setup time on Helio vs Lumen, where users churn from one vendor to another, which workaround a competitor solved last quarter. Apples-to-apples, evidence-attached, so trade-offs are decisions instead of guesses.
Every claim, traced. Every source, fetched in full.
We don't summarize search snippets. Our agents render and parse each page in full, attach every quote to its source, and tag each card by persona, sector, company size, competitor, and timing before anything reaches your scorecard.
Research goes where you work.
Pipe research into the tools your team already use, watch the trend bend after you ship a fix, share a read-only link with the team, or get pinged when signal crosses a threshold.
Ship a fix or a new feature, then watch the painpoint keep getting measured. Reach, intensity, and trend re-tally weekly so you see whether the change moved the needle, or didn't, instead of guessing.
Connect DataPlay's MCP server and pull research straight into the apps your team already lives in: your IDE, AI assistants, docs. Painpoint scores, sources, and recommended next steps come along.
Send a link. The recipient sees the live scorecard, including the signal mix and the underlying cards. No login needed.
Get a Slack or email ping when reach spikes on a painpoint, a new workaround pattern emerges, or signal strength upgrades from forming to strong.
Founders, PMs, investors. Anyone deciding what to build, fund, or shelve next.
Founder
Pieces a wedge thesis together from anecdotes, a handful of interviews, and a hunch about where the pain is.
Tracks the markets in their thesis. Spots the wedge before competitors do, with the evidence already attached.
Product manager
Reads support tickets, forum threads, and reviews every two weeks. Hand-writes a research doc the night before review.
A live scorecard per product surface. Painpoints ranked, evidence one click away, no doc to assemble.
Investor
Reads quarterly updates and skims headline metrics. Catches a portfolio company's market shift only after it's already in the P&L.
Watches every portfolio company against its market. Painpoint movement, feature adoption, and competitor switching, week by week instead of quarterly.
PM team
Three PMs hand-aggregate forum threads and ticket counts into a shared doc the night before review.
Shared workspace. Evidence routes to the right PM by surface. Reviews start from a live scorecard, not a stale doc.
A live research surface for the products you care about.
Tell us what you'd track. We'll spin up your first scorecard (research areas, signal strength, sourced evidence) within minutes.