Are your managers and employees sometimes unsure of the right point amount to give in a recognition award? Do you want to ensure your awards are consistent and equitable across your organization?
This week’s tip is all about a quick win in your program settings: Award Presets.
Recognition presets are predefined point values (like $10, $25, $50, or Bronze, Silver, Gold) that users can choose from when giving an award. They transform an open-ended question ("How many points?") into an easy choice from your curated list.
🚀 Why Presets are Your Program’s Best Friend
- Remove the Guesswork: Presets eliminate decision fatigue. Users are much more likely to complete a recognition when they don't have to pause and deliberate over the exact point value.
- Ensure Consistency: By defining a standard set of award tiers, you ensure that a "job well done" in one department is recognized with a similar value as a "job well done" in another. This reinforces the integrity of your recognition budget.
- Set the Stage for the Giving Guide: Having presets configured is the mandatory first step to utilizing our exciting upcoming feature: the Giving Guide! This powerful tool builds on your presets to recommend the perfect award amount based on specific criteria you define.
How to Configure Your Award Presets ✅
You can set up presets for any of your recognition programs right now!
- Navigate to the Admin Portal and click on Programs > Recognition Programs.
- Select the program you wish to update.
- Click the Points tab.
- In the Presets section, enter a descriptive Preset label (e.g., "Small Thanks," "Team Impact," "Major Achievement") and the equivalent Award Value in Points or local currency.
- 💡 Pro-Tip: It is highly recommended to have at least two active presets in a program to standardize the giving experience and to enable future features like the Giving Guide.
- Click Save Changes.
By taking a few minutes to set up clear presets, you immediately simplify the recognition process and bring more structure to your programs. Give your team the gift of clarity!
Ready to simplify your recognition process? Have you already configured presets, and if so, what labels have you found most effective? Let us know below! 👇
