Seven Habits That Signal a Bad Hire, According to Alvin Huang

In a recent LinkedIn post, Alvin Huang discusses critical warning signs to look for during the early stages of employment that can indicate a poor hiring decision, even if the candidate appeared perfect on paper. Huang shares a personal anecdote about a hire who, despite interviewing well and meeting all stated qualifications, began exhibiting detrimental habits within weeks.

Huang emphasizes that these habits are often visible early on if managers know what to observe. He writes:

“We brought someone onto the team who interviewed well and checked every box we were looking for. But within the first few weeks, a few habits started showing up that never came up in the interview.”

The post details seven specific habits that Huang identifies as red flags, suggesting that artificial intelligence can now play a significant role in detecting them sooner than traditional methods.

Proactive Identification of Undesirable Habits

Alvin Huang outlines several key behaviors that can undermine team performance and morale. He argues that these are not necessarily indicators of malice but rather of a lack of initiative or engagement that can negatively impact colleagues.

1. Waiting to Be Told What to Do

Huang points out that employees who consistently wait for explicit instructions rather than taking initiative can slow down productivity. As Alvin Huang notes, “They rarely take initiative, and every next step needs to be spelled out for them.” He suggests that AI-powered task management tools can help identify individuals who frequently wait for assignments versus those who proactively pick up work.

2. Doing the Minimum Required

Another habit highlighted is the tendency to meet only the basic requirements of a task without any effort to improve the outcome. Huang observes that such employees show “no interest in improving the outcome.” According to Alvin Huang, AI can flag when work consistently meets only the bare minimum, providing an earlier signal than traditional review cycles.

3. Avoiding Difficult Conversations

Huang identifies individuals who go silent or deflect when problems arise, rather than addressing them directly. This avoidance can leave issues unresolved and create further complications. As Alvin Huang points out, these employees “go quiet or hand the issue to someone else instead of addressing it directly.” AI tools that summarize meetings can help identify who actively raises issues versus who remains silent.

4. Resisting Feedback

The post also addresses those who become defensive when given feedback or who agree to changes but fail to implement them. Huang suggests that tracking feedback against subsequent behavior changes can reveal whether an employee is genuinely receptive or merely agreeing to placate.

5. Creating Work for Others

Huang notes that employees whose output requires constant checking and fixing can inadvertently increase the workload for their colleagues. AI can assist in flagging instances where an individual’s work repeatedly needs rework, thus highlighting potential inefficiencies.

6. Disappearing When Things Get Hard

According to Alvin Huang, a critical sign is when individuals become unavailable or go quiet during high-pressure situations. He argues that attendance and response times during crises can be more revealing than relying on memory.

7. Showing No Curiosity About Improving

Finally, Huang identifies a lack of curiosity about personal development as a significant concern. Employees who do not seek ways to improve or ask for stretch projects may have settled into complacency. As Alvin Huang states, they “don’t ask how to get better or seek feedback, and they’ve settled into their current level.”

Huang concludes by underscoring that AI offers a powerful advantage in spotting these habits within the first few weeks of employment, allowing leaders to address issues proactively rather than waiting for formal review cycles. He advocates for immediate intervention upon noticing such behaviors to maintain team strength and productivity.