MARKET RESEARCH
G2 negative-review spike alert with theme triage
Polls your G2 reviews daily and, when negative reviews spike above your trailing baseline, classifies the new complaints into themes and posts an urgent triage card to Slack…
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule
- ActionScrape new G2 reviews since last runApify
- LogicCompare negatives to 30-day baseline
- ActionClassify spiking complaints into themesOpenAI
- OutputPost urgent triage card to SlackSlack
What it does
It watches your G2 review stream every day and detects when low-star reviews jump above a rolling baseline. On a spike it reads only the new negative reviews, sorts them into root-cause themes, and sends a triage alert naming the top issue, how many reviews mention it, and a suggested public response angle.
When to use it
Use it when a release, pricing change, or outage could trigger a wave of negative reviews and you need to catch the pattern in hours, not at the next quarterly review.
How it works
- 1A daily schedule trigger runs each morning.
- 2Apify scrapes new G2 reviews since the last run.
- 3A logic step compares today's negative-review count to the trailing 30-day baseline.
- 4If there's no spike, the run ends quietly.
- 5On a spike, OpenAI classifies the new negative reviews into themes with severity and example quotes.
- 6An urgent triage card with the dominant theme, counts, and a suggested response posts to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect ApifyActors, scrapers, datasets.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.