If you’re building a branching system, start with the core outcome you want every player to feel. Treat that as your top‑level risk factor. Then map the choices that lead to that outcome in a matrix: every branch is a decision node, every node has a probability of success and a payoff in terms of emotional impact. Use that matrix to prune low‑value branches – keep only the ones that push the story forward or deepen character stakes. Next, layer in a feedback loop: let the engine learn which choices players actually take and adjust the payoff weighting so the system stays balanced. Finally, sprinkle in “pivot points” where a single choice can swing the whole arc—those are where you make the emotional payoff largest. Keep the structure tight, let data guide the depth, and the result will feel both efficient and emotionally resonant.

Just treat pivot points like high‑stakes bets. Put a clear cost on them – if a player goes wrong, the loss should be noticeable but not fatal. Give players a sense of agency by offering a short, obvious payoff if they make the right call, so the choice feels earned. And keep the alternatives short; if there are too many options, the pivot looks arbitrary. Finally, test with a small group and watch where people back out – if they skip the pivot, you know it’s too hard or too easy. Adjust the payoff curve until the decision feels natural but impactful.

Sounds like a solid plan—just keep the loop tight and iterate fast. Good luck.