Reviewing interview notes can take time, especially when multiple candidates and roles are involved. This workflow helps hiring teams stay organized by automatically generating structured candidate feedback, labeling it based on fit, and saving it to the right Space after an interview transcript is processed.
By combining a custom AI prompt, review logic, and conditional steps, recruiters can keep their hiring pipeline up to date without extra admin work.
How it works
Whenever a meeting titled Initial Interview is processed, this workflow runs a custom AI prompt to create a summary of the conversation that includes the candidate’s strengths, areas for improvement, and overall recommendation.
A condition then checks the AI’s feedback:
If the candidate is marked a
Good fit, their summary is shared to Slack and saved in theHiring PipelineSpace.
If they are marked as anything other than
Good fit, the feedback is labeledTalent Pooland stored in that Space for future reference.
This helps recruiters quickly separate promising candidates from those who may be better suited for future roles while keeping every interview note properly categorized.
Setting it up
Click
New workflowand name itGenerate candidate feedback.
Under
Trigger type, selectAutomatic, then chooseMeeting Processed.Add a condition so it only runs when the
Meeting TitlecontainsInitial Interview.
Add the
AI: Write your own promptstep.Use a prompt like:
Write a structured summary of this interview. Include: - Candidate name (if mentioned) - Role interviewed for - Strengths - Areas for improvement - Overall recommendation (Good fit / Needs review / Not a fit)
Turn on
Include meeting transcript in prompt contextandSave the result to the meeting.
Add a
Conditionstep.Set the logic to
step1.output contains Good fit.This lets the workflow branch based on the AI’s recommendation.
On the Yes path:
Add an
Add labelsstep and label it asHiring Pipeline.Add a
Share to an integrationstep, chooseSlack, and select the channel for hiring updates.The result from
step1(the AI-generated summary) is automatically posted to this Slack channel, giving the hiring team a quick overview of promising candidates.
Add a
Save to a Spacestep and select theHiring PipelineSpace.
On the No path:
Add an
Add labelsstep and label it asTalent Pool.Add a
Save to a Spacestep and select theTalent PoolSpace.
Click
Save.
Now, each time an interview meeting is processed, Tactiq will automatically generate feedback, tag it appropriately, share it to Slack when relevant, and route it to the correct Space.
Variation to try
If you want an extra layer of quality control before saving the AI feedback, insert a
Review Before Proceedingstep right after the AI prompt. This lets a recruiter or hiring manager review the generated summary before it is shared or categorized.
You can also add a
Save to a Spacestep for storing internal notes or HR documentation in one place.
These additions make your workflow more flexible and ensure hiring decisions stay transparent and well documented.
What you’ll get
Clear, structured summaries of every interview, instantly generated and categorized
Automatic labeling that keeps your
Hiring PipelineandTalent Poolorganized
Slack updates for quick team visibility on promising candidates
Less manual follow up and more consistent documentation across interviews