⚔️QuestsIterating on Quest Design Based on Data and Feedback

When it comes to quest design, the process doesn't stop once the quest is live. In fact, that's often just the beginning. In this post, we're going to explore how data and user feedback can inform and shape the iterative process of quest design.

The first step to iterating on quest design is to gather data. Once your quest is live, you'll be able to collect a wealth of information about player behavior. This can include:

1. How many players attempt the quest.
2. How many players complete the quest.
3. How long it takes players to complete the quest.
4. Where players tend to fail or give up.

These data points can offer invaluable insights into the player experience. For example, if a significant number of players give up at a particular point in the quest, this could indicate that this stage is too difficult or confusing. Conversely, if players are breezing through the quest without any difficulty, it may not be challenging enough.

The second step is to analyze the data. This can involve looking for trends and patterns, as well as comparing the data to your initial expectations. For instance, if you expected a particular quest to be challenging but most players are completing it quickly and easily, this could suggest that you need to increase the difficulty.

The third step is to collect and review user feedback. While data can provide a quantitative perspective on player behavior, user feedback offers a qualitative perspective on the player experience. This can include comments, reviews, forum discussions, and direct feedback from players. The key here is to listen to your players. They're the ones experiencing the quest firsthand, so their insights can be incredibly valuable.

The fourth step is to iterate on your quest design. Based on the data and feedback, you can identify areas where the quest could be improved. This could involve tweaking the difficulty, adjusting the pacing, changing the rewards, or even overhauling the quest entirely. Remember, the goal is to create a quest that is engaging, fun, and aligns with your game's overall design goals.

Finally, the fifth step is to implement these changes and then repeat the process. Iteration is an ongoing process. Even after making changes, it's important to continue gathering data and feedback to see how these changes impact the player experience.

To summarize, here's a quick rundown of the process:

1. Gather data on player behavior.
2. Analyze the data and compare it to your expectations.
3. Collect and review user feedback.
4. Iterate on your quest design based on the data and feedback.
5. Implement changes and repeat the process.

Remember, no quest is perfect from the get-go. It's through this iterative process of data analysis, user feedback, and design tweaks that you can continually improve your quests and enhance the player experience.

Lastly, if you're a game developer or designer looking for a platform to easily manage and iterate on your game's quests, check out Questful. Questful is a questing as a service platform that allows you to create, manage, and iterate on quests for your game or application. With Questful, iterating on quest design based on data and feedback has never been easier. Find out more at https://questful.dev.