Without an analysis strategy from the get-go, the results of your remote usability test will be a massive pile of raw, even confusing, information. The solution is to put a powerful, enterprise-grade data-analysis engine at the core of your tech stack. Because data is only as useful to you as it is relevant, it's important to bridge the gap between data collection and analysis.
Otherwise, you're left manually sifting through enormous amounts of test results, devoid of context and meaning. This not only increases the chance of error, it drains resources. By the end of it, you'll have conclusions that may be obsolete, because it took so much time.
Instead, make every team involved in the remote usability test familiar with your central data repository. They'll see how their efforts will culminate in a single company-wide platform, which will guide their efforts from the design phase to post-testing collaboration.
With Dovetail, numerous enterprises and SMBs are simplifying their research analysis and achieving quick, accurate answers to their most pressing questions. For remote usability testing, a polished analysis platform leads to:
• Improved decision-making with data-driven answers
• Faster, automated organization of test results
• Easy cross-referencing of data
• Clearer identification of user experience trends
• Greater stakeholder consensus
• Streamlined future data-gathering efforts
• A central customer insights hub that grows with your company
Further, your other research efforts can be placed under the same hood, allowing you to compare your remote usability tests with:
• Survey and interview transcripts or recordings
• Market and competitor analyses
• Product & customer feedback
• Job tags and sharing boards
• Customer journey maps
• Demographics data
• NPS ratings
• Sales calls
Great testing tools mean faster, more revealing insights
The quality of your remote usability testing tools directly impacts the speed of getting your team to the analysis phase. It's the part of any market research that matters most. Without it, you risk being caught trying to answer questions with more questions. The original purpose of your remote usability tests is lost under layers of needless complexity, which is the natural result of using too many or insufficient research tools.
Analysis is aimed at arriving at answers. Consider the whole remote research process in four stages:
1. Design & preparation
2. Testing
3. Data gathering
4. Analysis
Your goal with remote usability tests should be to gain firsthand insights into how customers interact with your product or service. Ultimately, application of your analysis matters even more and could be considered the fifth step and final step.
Once you've worked out test mechanics, the right remote usability testing tools will you proceed to the post-testing phase of your research with lightning speed. A reliable, department-agnostic central-data repository like Dovetail does the heavy lifting, leading you through the data-crunching phase and onto the things that matter.
Without an effective usability testing platform, you'll likely spend far too much time gathering data than actually using it. In effect, it loses its value, being less immediately useful—or its utility becomes vague, expected at some poorly defined point in the future.
Why wait for actionable insights? For all but developers, there's simply no reason to crunch data and compile it into more useful ways—and what will you do when the next test comes? Companies must react at the speed of their market, not their tech stack.
Even the most custom research needs are best served with a multi-use, easily integrated analysis hub. Once you make the switch, future remote usability tests (and any other research) becomes easier to compile. It also smoothly integrates into a silo-free, yet highly organized, customer-data repository.