Collecting and organizing customer feedback is critical for a customer-centric approach to product development.
Sources of feedback can include longitudinal surveys, sales calls, customer support, direct email outreach, and ratings/reviews.
Setting up simple surveys like CSAT or NPS can be done easily from the outset and easy to collect.
Sales calls offer a built-in mechanism for product feedback just waiting to be consumed. Listening to calls is essential and notes should be taken.
Customer support can be a firehose of information and structured categorization for the feedback is essential.
Different approaches to analyzing feedback can include ‘decision first research’ and structured aggregation methods.
AI tools like Enterpret can handle categorization and company-level taxonomy automatically, generating actual reasons for the feedback and not just the raw feedback itself.
To derive insights, feedback should be organized in a simple spreadsheet or database, piped into a Slack channel, and eventually leveraged AI to make sense of it all and derive insights.
Booking website ResortPass used an Airtable of customer feedback from sales and account management and grouped, organized, and quantified the scale of the feedback to avoid recency bias.
Slack created a wiki that summarized what they knew about a wide-range of topics with Q&A style headings linked out to other information, and systematic analysis from the customer support team.
Leveraging sales and account management teams on a ‘submission process’ for product-specific customer feedback on a form was also helpful for ResortPass.