July 22, 2024
2 min

Exciting updates to Optimal’s pricing plans

Big things are happening in 2024! 🎉

We’re undergoing a huge transformation in 2024 to deliver more value for our customers with exciting new products like prototype testing, features like video recording, upgrading our survey tool, introducing AI, and improving how we support large organizations and multiple teams managing their accounts. These new products and features mean we need to update our pricing plans to continue innovating and providing top-tier UX research tools for our customers now and in the future.

Say hello to our new pricing plans  👋🏽

Starting July 22, 2024, we’ll be introducing new plans—Individual and Individual+—and updating our Team and Enterprise plans. We’ve reduced the price to join Optimal from $249 a month on the Pro plan to $129 on the new Individual plan. This reduction will help make our tools more accessible for people to do research and includes two months free on the individual annual plan, too.

We’ll be discontinuing some of our current plans, including Starter, Pro, and Pay per Study, and letting customers know about the changes that will affect their account via email and in information on the plans page in the app.

Prototype testing is just around the corner 🛣️ 🥳

The newest edition to the Optimal platform  is  days away, and will be available to use on the Individual+, Team and Enterprise plans from early August.  Prototype testing will allow you to quickly test designs with users throughout the design process, to help inform decisions so you can build on with confidence.  You’ll be able to build your own prototype from scratch using images or screenshots or import a prototype directly from Figma. Keep an eye out in app for this new exciting addition.

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The Power of Prototype Testing Live Training

If you missed our recent live training on Prototype Testing, don’t worry—we’ve got everything you need right here! You can catch up at your convenience, so grab a cup of tea, put your feet up, and enjoy the show.

In the session, we explored the powerful new features of our Prototype Testing tool, offering a step-by-step guide to setting up, running, and analyzing your tests like a seasoned pro. This tool is a game-changer for your design workflow, helping you identify usability issues and gather real user feedback before committing significant resources to development.


Here’s a quick recap of the highlights:

1. Creating a prototype test from scratch using images

We walked through how to create a prototype test from scratch using static images. This method is perfect for early-stage design concepts, where you want to quickly test user flows without a fully interactive prototype.

2. Preparing your Figma prototype for testing

Figma users, we’ve got you covered! We discussed how to prepare your Figma prototype for the smoothest possible testing experience. From setting up interactions to ensuring proper navigation, these tips ensure participants have an intuitive experience during the test. For more detailed instructions, check out our help article 

3. Seamless Figma prototype imports

One of the standout features of the tool is its seamless integration with Figma. We showed how easy it is to import your designs directly from Figma into Optimal, streamlining the setup process. You can bring your working files straight in, and resync when you need to with one click of a button.

4. Understanding usability metrics and analyzing results

We explored how to analyze the usability metrics, and walked through what the results can indicate on click maps and paths. These visual tools allow you to see exactly how participants navigate your design, making it easier to spot pain points, dead ends, or areas of friction. By understanding user behavior, you can rapidly iterate and refine your prototypes for optimal user experience.

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Ready for take-off: Best practices for creating and launching remote user research studies

"Hi Optimal Work,I was wondering if there are some best practices you stick to when creating or sending out different UX research studies (i.e. Card sorts, Prototyye Test studies, etc)? Thank you! Mary"

Indeed I do! Over the years I’ve learned a lot about creating remote research studies and engaging participants. That experience has taught me a lot about what works, what doesn’t and what leaves me refreshing my results screen eagerly anticipating participant responses and getting absolute zip. Here are my top tips for remote research study creation and launch success!

Creating remote research studies

Use screener questions and post-study questions wisely

Screener questions are really useful for eliminating participants who may not fit the criteria you’re looking for but you can’t exactly stop them from being less than truthful in their responses. Now, I’m not saying all participants lie on the screener so they can get to the activity (and potentially claim an incentive) but I am saying it’s something you can’t control. To help manage this, I like to use the post-study questions to provide additional context and structure to the research.

Depending on the study, I might ask questions to which the answers might confirm or exclude specific participants from a specific group. For example, if I’m doing research on people who live in a specific town or area, I’ll include a location based question after the study. Any participant who says they live somewhere else is getting excluded via that handy toggle option in the results section. Post-study questions are also great for capturing additional ideas and feedback after participants complete the activity as remote research limits your capacity to get those — you’re not there with them so you can’t just ask. Post-study questions can really help bridge this gap. Use no more than five post-study questions at a time and consider not making them compulsory.

Do a practice run

No matter how careful I am, I always miss something! A typo, a card with a label in the wrong case, forgetting to update a new version of an information architecture after a change was made — stupid mistakes that we all make. By launching a practice version of your study and sharing it with your team or client, you can stop those errors dead in their tracks. It’s also a great way to get feedback from the team on your work before the real deal goes live. If you find an error, all you have to do is duplicate the study, fix the error and then launch. Just keep an eye on the naming conventions used for your studies to prevent the practice version and the final version from getting mixed up!

Sending out remote research studies

Manage expectations about how long the study will be open for

Something that has come back to bite me more than once is failing to clearly explain when the study will close. Understandably, participants can be left feeling pretty annoyed when they mentally commit to complete a study only to find it’s no longer available. There does come a point when you need to shut the study down to accurately report on quantitative data and you’re not going to be able to prevent every instance of this, but providing that information upfront will go a long way.

Provide contact details and be open to questions

You may think you’re setting yourself up to be bombarded with emails, but I’ve found that isn’t necessarily the case. I’ve noticed I get around 1-3 participants contacting me per study. Sometimes they just want to tell me they completed it and potentially provide additional information and sometimes they have a question about the project itself. I’ve also found that sometimes they have something even more interesting to share such as the contact details of someone I may benefit from connecting with — or something else entirely! You never know what surprises they have up their sleeves and it’s important to be open to it. Providing an email address or social media contact details could open up a world of possibilities.

Don’t forget to include the link!

It might seem really obvious, but I can’t tell you how many emails I received (and have been guilty of sending out) that are missing the damn link to the study. It happens! You’re so focused on getting that delivery right and it becomes really easy to miss that final yet crucial piece of information.

To avoid this irritating mishap, I always complete a checklist before hitting send:

  • Have I checked my spelling and grammar?
  • Have I replaced all the template placeholder content with the correct information?
  • Have I mentioned when the study will close?
  • Have I included contact details?
  • Have I launched my study and received confirmation that it is live?
  • Have I included the link to the study in my communications to participants?
  • Does the link work? (yep, I’ve broken it before)

General tips for both creating and sending out remote research studies

Know your audience

First and foremost, before you create or disseminate a remote research study, you need to understand who it’s going to and how they best receive this type of content. Posting it out when none of your followers are in your user group may not be the best approach. Do a quick brainstorm about the best way to reach them. For example if your users are internal staff, there might be an internal communications channel such as an all-staff newsletter, intranet or social media site that you can share the link and approach content to.

Keep it brief

And by that I’m talking about both the engagement mechanism and the study itself. I learned this one the hard way. Time is everything and no matter your intentions, no one wants to spend more time than they have to. Even more so in situations where you’re unable to provide incentives (yep, I’ve been there). As a rule, I always stick to no more than 10 questions in a remote research study and for card sorts, I’ll never include more than 60 cards. Anything more than that will see a spike in abandonment rates and of course only serve to annoy and frustrate your participants. You need to ensure that you’re balancing your need to gain insights with their time constraints.

As for the accompanying approach content, short and snappy equals happy! In the case of an email, website, other social media post, newsletter, carrier pigeon etc, keep your approach spiel to no more than a paragraph. Use an audience appropriate tone and stick to the basics such as: a high level sentence on what you’re doing, roughly how long the study will take participants to complete, details of any incentives on offer and of course don’t forget to thank them.

Set clear instructions

The default instructions in Optimal Workshop’s suite of tools are really well designed and I’ve learned to borrow from them for my approach content when sending the link out. There’s no need for wheel reinvention and it usually just needs a slight tweak to suit the specific study. This also helps provide participants with a consistent experience and minimizes confusion allowing them to focus on sharing those valuable insights!

Create a template

When you’re on to something that works — turn it into a template! Every time I create a study or send one out, I save it for future use. It still needs minor tweaks each time, but I use them to iterate my template.What are your top tips for creating and sending out remote user research studies? Comment below!

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1 min read

Event Recap: Measuring the Value of UX Research at UXDX

Last week Optimal Workshop was delighted to sponsor UXDX USA 2024 in New York. The User Experience event brings together Product, Design, UX, CX, and Engineering professionals and our team had an amazing time meeting with customers, industry experts, and colleagues throughout the conference. This year, we also had the privilege of sharing some of our industry expertise by running an interactive forum on “Measuring the Value of UX Research” - a topic very close to our hearts.

Our forum, hosted by Optimal Workshop CEO Alex Burke and Product Lead Ella Fielding, was focused on exploring the value of User Experience Research (UXR) from both an industry-wide perspective and within the diverse ecosystem of individual companies and teams conducting this type of research today.

The session brought together a global mix of UX professionals for a rich discussion on measuring and demonstrating the effectiveness of and the challenges facing organizations who are trying to tie UXR to tangible business value today.

The main topics for the discuss were: 

  • Metrics that Matter: How do you measure UXR's impact on sales, customer satisfaction, and design influence?
  • Challenges & Strategies: What are the roadblocks to measuring UXR impact, and how can we overcome them?
  • Beyond ROI:  UXR's value beyond just financial metrics

Some of the key takeaways from our discussions during the session were: 

  1. The current state of UX maturity and value
    • Many UX teams don’t measure the impact of UXR on core business metrics and there were more attendees who are not measuring the impact of their work than those that are measuring it. 
    • Alex & Ella discussed with the attendees the current state of UX research maturity and the ability to prove value across different organizations represented in the room. Most organizations were still early in their UX research maturity with only 5% considering themselves advanced in having research culturally embedded.
  1. Defining and proving the value of UX research
    • The industry doesn’t have clear alignment or understanding of what good measurement looks like. Many teams don’t know how to accurately measure UXR impact or don’t have the tools or platforms to measure it, which serve as core roadblocks for measuring UXRs’ impact. 
    • Alex and Ella discussed challenges in defining and proving the value of UX research, with common values being getting closer to customers, innovating faster, de-risking product decisions, and saving time and money. However, the value of research is hard to quantify compared to other product metrics like lines of code or features shipped.
  1. Measuring and advocating for UX research
    • When teams are measuring UXR today there is a strong bias for customer feedback, but little ability or understanding about how to measure impact on business metrics like revenue. 
    • The most commonly used metrics for measuring UXR are quantitative and qualitative feedback from customers as opposed to internal metrics like stakeholder involvement or tieing UXR to business performance metrics (including financial performance). 
    • Attendees felt that in organizations where research is more embedded, researchers spend significant time advocating for research and proving its value to stakeholders rather than just conducting studies. This included tactics like research repositories and pointing to past study impacts as well as ongoing battles to shape decision making processes. 
    • One of our attendees highlighted that engaging stakeholders in the process of defining key research metrics prior to running research was a key for them in proving value internally. 
  1. Relating user research to financial impact
    • Alex and Ella asked the audience if anyone had examples of demonstrating financial impact of research to justify investment in the team and we got some excellent examples from the audience proving that there are tangible ways to tie research outcomes to core business metrics including:
    • Calculating time savings for employees from internal tools as a financial impact metric. 
    • Measuring a reduction in calls to service desks as a way to quantify financial savings from research.
  1. Most attendees recognise the value in embedding UXR more deeply in all levels of their organization - but feel like they’re not succeeding at this today. 
    • Most attendees feel that UXR is not fully embedded in their orgnaization or culture, but that if it was - they would be more successful in proving its overall value.
    • Stakeholder buy-in and engagement with UXR, particularly from senior leadership varied enormously across organizations, and wasn’t regularly measured as an indicator of UXR value 
    • In organizations where research was more successfully embedded, researchers had to spend significant time and effort building relationships with internal stakeholders before and after running studies. This took time and effort away from actual research, but ended up making the research more valuable to the business in the long run. 

With the large range of UX maturity and the democratization of research across teams, we know there’s a lot of opportunity for our customers to improve their ability to tie their user research to tangible business outcomes and embed UX more deeply in all levels of their organizations. To help fill this gap, Optimal Workshop is currently running a large research project on Measuring the Value of UX which will be released in a few weeks.

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