User research that moves the sprint not the wiki

Your interviews captured the exact moment users gave up. Your 15 page report got skimmed. Turn raw research recordings into a user research video stakeholders watch, feel, and act on — before next planning.

Or pick a video type to get started

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Salesforce
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Salesforce
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HubSpot
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PayPal
Snap Inc.
Snap Inc.
Rocket Mortgage
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Tektronix
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Diligent
Diligent
Times Internet
Times Internet
Fivetran
Fivetran
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Eightfold AI
Eightfold AI
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PingCAP
Quizizz
Quizizz
Apryse
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Sandbox VR
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Taggbox
Taggbox
Matrixport
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Glasswall
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ContractSafe
ContractSafe

I interviewed 15 users. Found a critical churn driver. The team skimmed my report and shipped what they had scoped anyway.

  1. Week one

    Recruit twelve users. Schedule the sessions across the time zone matrix. Record every interview in Zoom or your research tool of choice. Take messy notes during the calls — the gold is in the body language and the pauses, not the timestamps.

  2. Week two

    Watch back fourteen hours of recordings. Tag the clips that matter — the moment a user says 'I have no idea what to do next,' the frustrated sigh at step three, the workaround they built in another tool. Build a Notion repository nobody else will open.

  3. Week three Monday

    Open Google Docs. Spend a full day formatting the report — methodology, participant profiles, key findings, verbatim quotes, prioritized recommendations. Screenshots, swimlane diagrams, the works. Schedule the readout meeting for Thursday.

  4. Thursday readout

    Present for 30 minutes. The PM partner scans the slides while you talk. The engineering lead checks Slack mid-deck. The VP says 'great insights, let's revisit during planning.' Someone asks if your sample size is large enough. Energy drains from the room.

  5. Following Monday

    Sprint planning. The recommendations you named end up in the maybe column. The engineering team builds what they had already scoped before the study. Your Confluence page gets four views in the next month — two of which are you checking whether anyone visited.

  6. +3 months

    Churn driver still in the wild. The onboarding step three you flagged is still abandoning 23% of trial users. Leadership asks why activation has not improved. You know the answer — they read about user pain; they never watched it. The next study you propose gets pushback on ROI.

70%

of designers and PMs now run their own user research, but most lack a way to share findings in a format that creates empathy — so the insights end up as footnotes in the planning doc instead of priorities in the sprint.

The data was solid. Nobody felt the user's pain. They read about frustration; they never watched the user give up.

From "interesting findings" to "that was painful to watch, we need to fix step three"

The old way
Before ngram
The ngram way
After ngram

You wrap two weeks of user interviews. Write a 15 page report with methodology, quotes, screenshots, and three prioritized recommendations. Schedule a 30 minute readout for product, engineering, and design. People nod through the deck, then ship the backlog they already had. Insights become footnotes in the planning doc.

You wrap the same two weeks of interviews. Drop the recordings into ngram. Clip the four moments where users hit the same wall at onboarding step three. Render a 3 minute user research video with captions and brand polish. Drop the link in Slack on Monday morning before standup.

The engineering lead reads about user frustration. They rationalize it — small sample size, edge case, etc. The VP files the recommendation under 'planning input.' Your sample of twelve participants becomes an abstract observation about 'some users struggling.' The fix never makes the sprint.

The engineering lead watches four users in a row say 'I have no idea what to do next.' They message you before standup: 'that was painful, can we talk about fixing step three?' The VP watches it twice and forwards it to the head of design. By Wednesday the onboarding redesign is the top of the sprint.

Three months later the churn driver is still live. The onboarding step three still abandons 23 percent of trial users. Leadership asks why activation has not improved. You know the answer — they read about user pain; they never watched it. The next research request gets pushback on ROI.

Two weeks after the user research video lands, the onboarding redesign ships. Activation improves; the churn driver retires. The next study you propose gets prioritized because the org has seen what your research can move. Empathy at scale becomes a repeatable pattern, not a one-time win.

Stakeholder engagement
Watched and shared
was: Skimmed 15-page report
Empathy created
Visceral, on-screen
was: Abstract text descriptions
Time from insight to action
Days to first sprint
was: Months on a backlog
Research reach
Slack, Jira, all-hands
was: 4 Confluence views

Research highlights from the recordings you already have

Bring your raw interview recordings or just the findings doc. ngram turns either one into the same user research video — clipped to the moments that move stakeholders, captioned for the Slack thread, brand-polished for the exec audience.

1Path one
Drop interview recordings
.mp4 · .mov · 14 hrs total

Start from interview recordings

Upload your Zoom, Loom, or research-tool session recordings. Scrub through fourteen hours of footage; tag the moments that matter — the frustrated sigh, the confused click, the verbatim quote that captures the problem. ngram trims dead air, strings the clips into a 3 minute highlight reel, burns captions, and applies your brand styling.

Webinar to Clips
2Path twoMost popular
Paste the findings doc
research memo · top insights

Or narrate findings over user clips

Record yourself walking through the top insights and use interview clips as evidence. Show a user struggling with onboarding step three, then explain what it means for the product. ngram polishes the narration over the user-clip evidence into a user research video that combines your analysis with the raw emotional weight of real voices.

Docs to Video
ngram

One compelling user research video

Watchable in Slack between standups. Carries the user's exact voice. Makes the fix impossible to deprioritize at next planning.

captionsmotion graphicsbrand kit

Already have a hosted research repository page? Run URL to Video on it Monday morning — the polish step downstream is identical.

What changes when user research video lands in Slack

The team finally feels the user's pain

Top benefit

Seeing a user give up is fundamentally different from reading about it. Video carries the pauses, the sighs, the confused clicks the text strips out. Stakeholders feel the frustration firsthand — and that emotional weight moves an item from backlog to sprint faster than any prioritization framework you can build.

more likely to influence strategic decisions when product teams democratize their research with video. The same recording reaches the engineer, the AE, and the exec — and creates the kind of empathy a 15 page PDF rarely does.

Research reshapes the roadmap instead of decorating it

When the engineering lead, the PM, and the VP all watch the same user pain in a 3 minute clip, alignment happens without an escalation. The user research video moves recommendations from the planning doc into the sprint within days, not months.

Faster to produce than the report you would have written

A 3 minute highlight reel takes less time to assemble than a 15 page written report and gets dramatically more engagement. Spend your hours on study design and analysis, not formatting documents that get skimmed once and bookmarked forever.

Raw interviews → research video in 3 steps

1

Upload the interview recordings

5 minutes

Drop in your Zoom, Loom, or research-tool sessions — raw footage with dead air, small talk, and rambles is fine. ngram is built to absorb the messy reality of user research recordings, not demand pre-edited input.

2

Clip and arrange the highlights

10 minutes

ngram trims filler automatically. Select the compelling moments — the frustrated sigh, the verbatim quote, the abandoned task. Arrange them into a narrative; captions and callouts get added for you in the storyboard.

3

Share and drive action

instant

Export the polished user research video and drop it into Slack, attach it to the Jira ticket, or play it at next product review. Update it in minutes when you run the next study or land a new participant.

Built for the job

Built for user research video, specifically

Explore all features
Built for teams

Who ships user research videos with ngram?

All solutions

Explore more use cases

Other PM communication videos ngram handles from the same research clip library the user research video pulls from.

View all use cases
Starting from something else?

You don't need polished recordings to ship a research video.

Bring whatever you captured during the study. Each converter drops you into the same captions, smart-zoom, and brand-kit pipeline the highlight-reel flow uses.

The rest of the toolkit

Every tool the user research video pipeline runs on.

All ngram tools

The old way vs. the ngram way

Written ReportsResearch Repository Toolsngram
Stakeholder engagementSkimmed or unreadRequires login + searchWatched and shared in Slack
Empathy createdAbstract text descriptionsTagged clips, no narrativeCurated stories with user voice
Time to produce1-2 days writingHours tagging and organizingUnder 30 minutes per reel
ShareabilityForwarded, rarely openedRequires tool accessVideo link works anywhere
Influence on next sprintOften deprioritizedAccessible but not persuasiveDrives sprint-level action
Integrations

Wire research findings into the workflow your team already runs.

Each integration ships with a working template. Trigger a user research video from a Dovetail tag, a Jira ticket, or a chat agent — or build your own with the REST API.

Zapier
no-code

whenA new research session lands in /research/inbox or your repository tool

thenPrompt for the interview recording upload and post the polished user research video link to #research and the related Jira ticket

Integrate with Zapier
MCP Server
agentic

whenClaude or ChatGPT calls the research-video tool with the study's top three insights

thenReturn a finished 3 minute user research video plus a Slack-ready share link for the engineering and design teams

Integrate with MCP Server
Chrome Extension
browser

whenYou hit 'Polish for the team' on a research recording open in the browser

thenGet back a 3 minute branded user research video with captions and clip highlights ready to drop into Slack and Jira

Integrate with Chrome Extension
Make.com
scenarios

whenA research insight gets tagged as 'critical' in your repository tool

thenRender a focused user research video around the tagged clip and attach it to the corresponding sprint backlog ticket

Integrate with Make.com
n8n
self-host

whenA self-hosted research pipeline marks a study as complete

thenAuto-generate the user research video from the study's tagged clips on your own infra, no participant data leaves your VPC

Integrate with n8n
LinkedIn
publish

whenA research insight gets approved for external sharing

thenSchedule a 60 second cut of the user research video to the company LinkedIn page as research-driven thought leadership

Integrate with LinkedIn
X (Twitter)
publish

whenA research highlight is approved for the founder feed

thenSchedule the short-form variant with copy A/B and a thread reply teed up — turn the insight into public momentum

Integrate with X (Twitter)
YouTube
publish

whenA long-form research findings video is approved for the wider org

thenUpload the cut to a private YouTube channel with chapter markers per insight so stakeholders can scrub by theme

Integrate with YouTube
REST APIMCP serverWebhooksBuild your own integration in ~30 lines.

“But will it work for my situation?”

Still have questions?

Your next research insight is 3 minutes from the sprint

Stop writing reports nobody acts on. Turn the recordings you already have into a user research video stakeholders watch and share — and move the churn driver from planning doc to sprint by next standup.