Elena Levi

Senior Product Manager, AppsFlyer
  • 09:20

!Cognitive biases of the different stakeholders : Don't blame the data

As product managers, we rely heavily on gathering data in order to make product and business-related decisions. But even with the best intentions at heart, many times our decision-making is affected by inherent biases and preconceived notions - not by empirical data.

This is a universal pain across organizations. 

 

In this talk, we will reveal the most prominent cognitive biases and explore mitigation tips to make better data-driven decisions. From Sales to Marketing and from Support to Dev we'll dive into each stakeholder, cover the most painful bias, explore how it affects the product, and how to deal with them.

 

Written by  Read 1437435 times Last modified on Tuesday, 24 December 2019 22:43
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    Trust and reputation are fundamental elements in the account wholesale ecosystem, especially given the inherent risks involved in buying and selling digital assets. Since transactions often occur in semi-private or decentralized marketplaces, buyers must rely heavily on the credibility of sellers when making purchasing decisions. Established sellers typically build their reputation over time by consistently delivering quality accounts, honoring guarantees, and providing responsive customer support. Reviews, testimonials, and word-of-mouth recommendations play a significant role in shaping perceptions within the community. In some cases, escrow services or intermediaries are used to facilitate transactions and reduce the risk of fraud. Despite these mechanisms, disputes can still arise, particularly when accounts are suspended shortly after purchase or fail to meet the advertised specifications. To address these concerns, many sellers offer replacement policies or limited warranties, although the terms and reliability of such guarantees can vary widely. On the buyer side, due diligence is essential, including verifying seller history, requesting samples, and understanding the specific conditions under which accounts are created and maintained. Ultimately, the emphasis on trust reflects the broader challenges of operating in a market where formal regulation is limited and enforcement mechanisms are often informal.


    From a risk and compliance perspective, SMS verification reception services exist in a highly sensitive regulatory and ethical environment. Many online platforms explicitly prohibit the use of temporary or shared numbers during account registration, as they undermine the purpose of identity verification systems designed to ensure user authenticity and security. When such systems are used at scale, they can distort platform metrics, enable spam account creation, or facilitate automated abuse. Consequently, companies invest heavily in anti-fraud systems that analyze phone number patterns, carrier data, and behavioral signals to detect non-genuine registrations. Governments and regulatory bodies in certain jurisdictions have also begun paying closer attention to digital identity verification practices, particularly in industries such as finance, social media, and e-commerce where user trust is critical. For legitimate users and businesses, this means that reliance on unstable or non-compliant SMS reception systems can introduce operational risks, including account suspension, data loss, or reputational damage. On the other hand, proponents argue that these services can still serve useful functions in controlled environments such as testing, development, and international communication trials. The tension between utility and misuse continues to define the evolution of SMS reception technology, making it a subject of ongoing debate in cybersecurity and digital identity management discussions.

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