In this episode of Software Leaders Uncensored, Steve Taplin speaks with Martin Mrugal, CEO of Alchemer. Martin has held leadership roles at SAP and Citrix and has been CEO of Alchemer for approximately a year and a half.
About Alchemer
Alchemer is a customer feedback platform founded in 2007. The founder identified an opportunity to create an easy-to-use, easy-to-implement, low total cost of ownership solution in the customer feedback space.
By 2012, Alchemer had 150,000 users and 2 million surveys in the market. The company continued to grow and was acquired by KKR in 2022.
In 2023, Alchemer acquired Apptentive, which provides digital feedback for mobile applications and websites. More recently, the company acquired Chatmeter, which provides social media and reputation monitoring capabilities.
Alchemer serves approximately 13,000 customers worldwide.
The platform captures:
- Direct feedback, including surveys, digital feedback, and open text analysis
- Indirect feedback, including social media signals, ratings and reviews, and reputation data
Returning from Retirement
Martin shared that he initially planned to retire and took approximately a year off. During that time, he served on a board. After additional conversations and renewed interest in returning to an operating role, he fielded calls and ultimately connected with KKR. The opportunity aligned with his background in enterprise software and customer experience.
2026 Roadmap and Analytics Platform
Alchemer recently announced a new analytics and dashboard platform designed to consolidate feedback from multiple sources into a unified analytics system.
The platform incorporates natural language processing to enable users to generate dashboards without writing code or using complex analytics tools. Users can describe the dashboard they want, and the system renders it.
The goal is to make it easier for users to synthesize feedback data and drive business decisions and operational processes from that data.
AI and Enterprise Software
Martin stated that AI is changing the competitive landscape and accelerating innovation. He emphasized that AI will change the playing field and that companies must move quickly.
However, he does not believe AI will eliminate enterprise software. He pointed to governance, compliance, standards, integration, and security as ongoing requirements that enterprise platforms provide.
AI is being used within Alchemer to:
- Analyze feature requests and market trends
- Accelerate coding and product development
- Improve analytics and dashboard capabilities
- Enhance open text analysis
He noted that the pace of development has increased as a result.
Engineering Team and Work Model
Alchemer is headquartered in Louisville, Colorado, near Boulder. The company employs approximately 75 software developers and also utilizes global partners to augment its development capabilities.
The company operates in a hybrid model, with many employees working from the Colorado office and others located remotely, including a significant presence in San Diego following the Chatmeter acquisition.
Speed of Innovation and Speed of Information
Martin identified two major pressures facing companies:
- Speed of innovation, which continues to accelerate
- Speed of information, particularly through social media and viral content
He emphasized that companies must monitor trends closely and respond quickly to product issues, brand challenges, and customer feedback.
Surveys and Feedback Usage
Martin acknowledged that companies sometimes over-survey customers. However, he stated that the larger issue is not acting on the feedback collected.
He estimated that approximately 30 to 40 percent of leadership teams truly use customer feedback to drive business decisions.
He emphasized that feedback should be operationalized across the enterprise rather than used solely as a market research tool.
Human in the Loop
While AI can automate survey collection, analysis, and theme generation, Martin emphasized the importance of human checkpoints.
Examples include:
- Validating that the correct populations were surveyed
- Reviewing AI-generated themes in open text analysis
- Drilling into underlying responses
- Confirming that conclusions align with business goals
Hard CEO Decision
Martin described a difficult decision involving whether to prioritize new features or address technical debt related to security and customer data protection.
The company chose to invest in retiring technical debt and strengthening security controls, despite customer demand for new features.
Advice to Tech Leaders
Martin’s closing advice was to avoid ruminating on decisions. Given the speed of innovation and information, he encouraged leaders to make decisions and move forward.
