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01 / Engineers & technical teams

Turn PostHog Drop-offs Into Verifiable Code Context.

Stop guessing why users break your funnels. 8x Research hooks into your telemetry to trigger automated, 1-on-1 native interviews the instant user friction happens. Query live qualitative findings directly inside Claude, ChatGPT, or your IDE via MCP, with no dashboard required.

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Where 8x Research helps engineers & technical teams

  • 01

    API & docs clarity

    Pinpoint exactly where developers get confused or abandon your integration onboarding steps.

  • 02

    Broken app flows

    Uncover the exact UX edge cases, confusing validation states, or friction loops causing users to drop off.

  • 03

    Feature discovery

    Learn why a newly shipped feature or major architectural release is getting zero user adoption or low stickiness.

What a study looks like for engineers & technical teams

01

What could we learn?

The questions a telemetry spike cannot answer on its own.

  • API & docs clarity: where developers get confused or abandon your integration onboarding steps.
  • Broken app flows: the UX edge cases, confusing validation states, or friction loops causing users to drop off.
  • Feature discovery: why a newly shipped feature or architectural release gets zero adoption or low stickiness.
  • Multi-market localization: whether localized copy, local payment gateways, or regional onboarding screens actually resonate in native markets.
02

Who would we speak to?

The people behind the events.

  • Developers who stalled in your integration or onboarding steps.
  • Users who hit a flagged friction point, interviewed the instant it happens: a timeout, a failed invite, an abandoned flow.
  • Users of a newly shipped feature, and the ones who never touched it.
  • Users in every market you localize for, interviewed in their own language.
03

What would we get back?

Findings inside your development loop, with no dashboard required.

  • Aggregated themes linked directly to clickable, raw user quotes.
  • Queryable from Claude Code, ChatGPT, or your IDE via MCP.
  • Live telemetry to track week-over-week, proving the fix resolved the friction.

An example study

“Why are invites failing?”

THE RESEARCH
A webhook on the invite-failure event triggers 1-on-1 interviews with the users who hit it, in their own language, following up on what they tried and what they expected.
WHAT YOU RECEIVE
The reasons invites fail, ranked, each tied to verbatim quotes: readable with one query from your IDE, and a telemetry metric to watch after you ship the fix.

How 8x works with you

We shape the study with you, speak to the right people, and bring back findings and recommendations you can act on.

  1. 01 / HOOK

    Telemetry trigger.

    Connect 8x Research to your analytics engine (e.g., PostHog, Mixpanel). Set up a webhook trigger on a specific friction point, like an onboarding milestone timeout or an invite failure event.

  2. 02 / GEN

    Natural language prompts.

    Define what you want to learn using your existing AI assistants. Pass a prompt to the 8x Research MCP server to instantly construct study goals, screening criteria, and interview parameters.

  3. 03 / RUN

    Parallel native conversations.

    8x Research spins up hundreds of parallel, 1-on-1 interviews with target users. The AI engine acts as a dynamic moderator, conducting deep follow-ups in the user’s native language based on live inputs.

  4. 04 / QUERY

    Zero-dashboard analysis.

    Fetch user feedback directly inside your development loop. Run queries in Claude Code or ChatGPT (e.g., 8x-research --query "Why are invites failing?") to get aggregated themes linked directly to clickable, raw user quotes.

  5. 05 / TRACK

    Continuous validation.

    Ship the code fix to production. Track your live telemetry metrics week-over-week to prove the user-guided change resolved the core friction layer.

Less second-guessing.
More understanding.

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