Working Backwards

The working-backwards skill enables AI agents to reverse-engineer product strategies by starting with a desired end-state and deriving the necessary steps, constraints, and decisions required to achieve it. It facilitates structured planning sessions where the agent acts as a strategic partner to validate assumptions before execution begins.

When to use it

• Strategic Planning: When defining a new feature roadmap or product launch, starting with the target outcome rather than current tasks.
• Requirement Validation: To test if proposed constraints or technical limitations are feasible for reaching specific business goals.
• Problem Solving: When stuck on how to solve a complex problem, working backward from the solution to identify missing pieces.
• Scenario Simulation: To explore "what-if" scenarios by defining a future state and tracing the logical path required to get there.

Key capabilities

• Reverse-engineers action plans from defined end goals.
• Identifies necessary prerequisites and dependencies for success.
• Challenges assumptions by testing if the current starting point aligns with the desired outcome.
• Structures complex problems into linear, achievable steps.

Example prompts

• "We want to increase user retention by 20% in Q3. Working backwards from that goal, what specific features and user behaviors must we enable?"
• "Our target is a $1M ARR run rate by next year. Walk me through the backward planning required to hit this number based on our current pricing model."
• "I need to launch a mobile app in six months. Start with the successful launch criteria and work backwards to identify the critical milestones we cannot miss."

Tips & gotchas

Ensure you provide a clear, measurable end-state definition; vague goals will result in generic backward plans. This skill is best used for high-level strategy or complex problem decomposition rather than granular daily task lists.