GRTech
Causal Inference for Product Decision-Making


Your team has just rolled out a new feature, and the dashboard is responsive, showcasing a spike in user retention.
The product manager feels fulfilled, but the team, in their curiosity, ask this pertinent question: was it really the new feature that led to this success, or were there other hidden factors at play?
This is the central challenge in product development, navigating the possible deceptions of correlation to find the true currents of causation.
The field of causal inference provides the analytical rigor needed to move beyond these misleading observations and truly understand why a user’s behaviour changes.
This is the specialty of Harrison Enofe Obamwonyi, a senior software data scientist whose expertise is a crucial asset for any organization seeking to make smarter, more confident decisions. Beyond reporting data trends and insights, Harrison acts as a strategic partner, leveraging data to obtain accurate scientific inquiry for teams.
Harrison helps product managers and guides them in knowing the standard approach in designing and executing the right experiments, including standard A/B tests, the gold standard for causal inference.
Also, when the possibility of obtaining a true random assignment is slim, he employs complex quasi-experiments that are necessary, such as a phased rollout of a new feature to different geographic regions over time.
These sophisticated methods are essential for isolating the true effect of a new feature, a pricing adjustment, or a UX tweak, filtering out other confounding factors like seasonal trends or external market shifts.
By carefully controlling for these variables, he makes product decision making easier. Rather than assuming and speculating, teams can confidently state that a specific change caused a particular outcome. To tackle the complexities of these high-stakes decisions, Harrison integrates a powerful toolkit of advanced modeling techniques.
He uses econometrics principles to view user data through an economic lens. This helps him build complex models to forecast user reactions to price or product changes. Teams can grasp ideas like price elasticity with these models.
His method also uses Bayesian modeling. This proves useful for small datasets or uncommon events such as launching a niche product feature. This approach allows for ongoing learning and belief updates as new data arrives. It yields more reliable and precise results than standard statistical methods might.
His use of uplift modeling has the biggest impact. This method does more than measure the average effect of a change. It spots specific user groups most likely to respond well to an action. For instance, a company might use an uplift model to discover that a discount offer works well to convert new users. But it might have no effect on long-term subscribers who would buy anyway. This insight enables a focused and effective strategy.
Through his expertise in causal inference, Harrison provides key tools. These tools help shift from a reactive, correlation-based approach to a proactive, evidence-based one.
His work empowers product teams to not only see what happened but to truly understand why it happened, allowing them to make confident, strategic decisions that drive real, measurable growth.
GRTech
The Economics of Product Decisions: Applying Behavioural Economics and Game Theory in PM


Product managers often need to make a clear-cut decision: what should we build next? But the decisions which hold real importance go beyond adding features.
It’s about getting what makes people tick.
It goes way beyond what you would expect, getting into how people behave and using game theory.
These areas give insight into how users decide and how a product’s design can improve growth and keep people interested.
This is what Amarachi Nnochiri excels at. She is a senior product manager that knows how to use economics and psychology in her job.
She goes beyond simply managing product tasks; she develops whole product systems based on how users think, feel, and use a service. Her background shows how understanding human psychology and behaviour can give you a significant advantage in the competition.
One idea Amarachi uses is “loss aversion.” In this scenario, people feel worse about losing something than they feel good about gaining something of equal value.
She uses this when designing her products, mostly when it comes to pricing and getting people to try new strategies. For example, instead of giving a free trial, she might use a freemium setup where users get some stuff for free but could lose it if they don’t buy an upgrade. This pushes them to pay.
She might also use progress bars or streak counters, since losing progress gets people to keep using the product.
Amarachi also uses ideas from “game theory” to get how users act and change their behavior. She realizes that users are doing more than operating a product, but are playing a game with other users or with the product itself. She designs things that use ideas like “Nash equilibrium,” where nobody can do better by changing what they’re doing. For a social product, this could mean creating a system where doing something good for yourself (like inviting friends) also helps everyone else. This makes the whole thing stable and positive.
Her know-how in game theory also applies to making strong “network effects.” This means making stuff that gets better as more people use it.
A good example is a social network where each new user makes the product more helpful for everyone else. Amarachi endeavours to make things go viral on purpose, not just by luck.
She might use “commitment devices,” which are things that make a user stick with a behaviour by making them depend on it socially or functionally. For example, inviting team members to a tool makes the user stick with the platform and makes the product’s network stronger.
This way of thinking is better than just following the usual steps. By using these economic and psychological tricks, Amarachi develops competitive advantages which are difficult to replicate.
She knows that a company’s best thing is not just a simple interface, but a product that’s designed to sync with how people behave.
Her product choices aren’t just about the needs of users, but equally focus on motivating them to like the product, use it, and stick with it.
In her work, choosing a subscription price isn’t just a business thing; it’s about behaviour. Designing a social feed isn’t just about the content; it’s about balancing what people want and watching how they interact. Amarachi knows extensively about the economics of product decisions. This makes her products innovative and appealing to human behaviour, which leads to more use, keeps people around, and helps the product grow. She’s a leader in product management, where identifying customer desires is backed by understanding human motivation.


Technology Company, Globacom, has announced significant reductions in its International Direct Dialing (IDD) rates, making international calls more affordable for its existing and new customers across Nigeria.
Effective August 10, the new rates began applying to over 15 popular international destinations, including United States which will has moved to ₦30 per minute, down from ₦35, United Kingdom is now N350 from ₦400, while India also moved down to ₦40 from N45.
The rates for China, Saudi Arabia and Cameroon however recorded major reduction moving to N75, N300 and ₦700 respectively.
The reduction was also extended to African countries including Benin Republic which goes for ₦650 per minute, Niger Republic ₦750, Ghana ₦500, and Togo ₦650. United Arab Emirates also moved from ₦450 to ₦325, Germany to ₦550, Côte d’Ivoire ₦700, Libya ₦700, while calls to Malawi is now N1,100 from ₦1,200.
Glo aims to provide more value for its customers through these revised rates, encouraging them to make Glo their preferred network for international calls. New IDD bundles will also be introduced, offering frequent international callers even more attractive deals.
Globacom, which remained optimistic that frequent international callers will benefit immensely from the reductions in IDD bundles, enjoined customers to take advantage of the new rates to stay connected with friends and business associates across the globe.
GRTech
Oil subsidy removal freed up resources for infrastructure – Enugu Governor
By Orji Israel, South East Correspondent


The Executive Governor of Enugu State, Peter Mbah, has attributed the financing of numerous infrastructure projects embarked by the state government to the oil subsidy removal policy of the President Bola Ahmed Tinubu administration.
He made this declaration at the Govermment House, Enugu, during a courtesy visit by a delegation of federal government led by Minister of Information and National Orientation, Mohammed Idris, as part of activities lined up for the 2-day Citizens’ Engagement Series in the South East geo-political zone.
“For us in Enugu, we are able to accomplish all we promised our people during the campaign, thanks to the bold decision taken by President Bola Tinubu, which has freed up resources needed to execute humongous capital projects,” said Governor, while listing ongoing projects in the state, which include the construction of 7,000 classrooms, 3,300 hospital beds and 2,000-hectare of 260 farm estates across the 260 wards of the state.
Governor Mbah also pledged more support for the policies of the federal government, saying they are in the best interest of the people of the state.
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