Monitor brand complaints across social platforms

It scans social media and review sites daily and sends you a report of new complaints, sorted by issue type.

How the work actually flows

A straight line. Runs once per each social or review platform.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(["daily scheduled scan"]):::trigtime s0[["search platforms for mentions"]]:::mi s1["filter negative complaints"]:::task s2["categorize by issue type"]:::task s3["tally common issues"]:::task s4["deliver complaint report"]:::svc trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"complaint report delivered"/]:::out pay{{"catch complaints before they spread"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemResultPayoff
Build size
Starter

A small build with a couple of connected tools.

Business functions
Research & Market IntelligenceGeneral Automation
Connects
TwitterRedditTrustpilot

The problem it solves

Customers vent about bad experiences on social media and review sites, and if you're not watching every platform, you won't know until it snowballs. Manually searching each platform for your brand name every day isn't realistic.

Who it fits

A brand or customer service manager who needs to catch and respond to public complaints before they spread.

How it works

  1. On a regular schedule, the automation searches social media and review sites for mentions of your brand
  2. It filters for negative or complaint-type posts
  3. Each complaint is categorized, such as defective products or refund issues
  4. It tallies the most common issue types
  5. A report of new complaints is delivered to you
What you get

Complaints you catch before they spread

You get a daily report of new brand complaints from social media and review sites, sorted by issue type.

What you get

A regular report listing new brand complaints by platform and category, with the most common issues highlighted.

What you need

Access to social media and review site data, such as a social listening or search API.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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