Multi-agentTechnology & Data AnalysisAdvancedFree

Tech Team Hiring & Culture System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready tech team hiring & culture system deliverable.

WORKFLOW META
Agents3
Total tokens (avg)~500
Run time9 min
AI toolChatGPT · Claude · Gemini
Variables4
DifficultyAdvanced
CategoryTechnology & Data Analysis
SEQUENCE MAP · CLICK TO JUMP
· 01 ·
Technical Hiring Framework Designer
· 02 ·
Technical Interview System Builder
· 03 ·
Engineering Culture Designer
USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

{{engineering_team_size}}
Engineering team size
Engineering team size
2 marketers, 1 designer, 1 developer
{{roles_to_hire}}
Roles to hire
Roles to hire
Backend Engineer, DevOps, Data Scientist
{{company_stage}}
Company stage
Company stage
Tech Team Hiring & Culture System example context
{{engineering_culture_goal}}
Engineering culture goal
Engineering culture goal
increase organic traffic and generate product sales
THE AGENTS

The 3-step sequence.

01
AGENT · TECHNICAL HIRING

Technical Hiring Framework Designer

GOAL OF THIS STEP

Design the technical hiring framework. Define: the engineering competency model (5 levels: L1 Junior → L5 Principal, with skill expectations at each level), the target level for each role to hire, the technical assessment approach (take-home project vs. live coding vs. system design vs. portfolio — recommend the right method for each role and justify why), and the technical evaluation rubric (how to score candidates consistently — 5 dimensions with descriptors).

EXPECTED OUTPUT

5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)

agent-01-technical-hiring-framework-des.md
### Input
Team size, roles, stage, culture

### Task
Design the technical hiring framework. Define: the engineering competency model (5 levels: L1 Junior → L5 Principal, with skill expectations at each level), the target level for each role to hire, the technical assessment approach (take-home project vs. live coding vs. system design vs. portfolio — recommend the right method for each role and justify why), and the technical evaluation rubric (how to score candidates consistently — 5 dimensions with descriptors).

### Output
5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)
02
AGENT · TECHNICAL INTERVIEW

Technical Interview System Builder

03
AGENT · ENGINEERING CULTURE

Engineering Culture Designer

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Technical Hiring Framework Designer

5-level competency model + target level per role + assessment approach + evaluation rubric (5 dimensions)

Technical Interview System Builder

4-part interview system per role: screen questions + take-home brief + 2 system design questions + 5 values questions

Engineering Culture Designer

5 engineering principles + code review culture + post-mortem culture + debt philosophy + learning culture program

★ MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free