Find Onboarding Friction in Public Product Posts

Some users post a setup question in public instead of opening a support ticket. Those posts can show where onboarding, documentation, or defaults fail.

This customer feedback workflow turns public setup problems into a sourced fix list.

SocialListeningAPI searches public posts on Reddit, X, LinkedIn, Hacker News, and YouTube and Google results for the phrases you choose. It returns normalized records with source URLs.

Step 1: List setup and error phrases

Create a SocialListeningAPI account and claim the 100 free credits. Combine your brand with onboarding actions and exact error wording:

• brand name setup
• how do I connect brand name
• brand name authentication error
• brand name not importing data
• brand name integration name

Add common misspellings and old product names when users still write them.

Step 2: Search customer feedback across six sources

for endpoint in \
  reddit/search-posts \
  x/search-posts \
  linkedin/search-posts \
  hackernews/search-posts \
  youtube/search-posts \
  google/search
do
  curl --get "https://api.sociallisteningapi.com/api/v1/$endpoint" \
    --data-urlencode 'query=brand name authentication error' \
    --header 'x-api-key: YOUR_API_KEY'
done

One phrase across six sources costs 7 credits. Use the API docs for endpoint details. The MCP can run these searches inside Claude or ChatGPT.

Step 3: Group friction by onboarding step

Store source URL, platform, published date, product version when known, error wording, and affected step in an external system. Useful groups include signup, authentication, data connection, first result, integration, billing, and invite flow.

An external LLM can suggest a group, but product or support staff should verify the source.

Step 4: Check the current product and docs

Try the documented path and see whether the current help page answers the question. Separate fixed issues, unclear docs, product bugs, missing defaults, and unsupported use cases.

Do not describe YouTube or social results as comment analysis. The API searches public posts and videos, not their comment threads.

Step 5: Prioritize the fix list

Rank issues by unique sources, recency, severity, and the point where setup stops. Assign an owner and keep one representative source beside each proposed fix.

Search happens in SocialListeningAPI. Storage, grouping, product testing, and prioritization happen outside it.

A human must check Reddit community rules and approve any public reply.

Conclusion

Fix blockers near signup and first use before polishing smaller questions later in onboarding.

Keep old or unclear reports out of the active queue until someone confirms the current path still fails.

Continue with Analyze Public Posts for Product Use Cases.

Written by ShashFounder at sociallisteningapi, focused on product and growth