# Aleksandra D.

Aleks Drobik shares work on learning and development, product management, and building AI proof-of-concepts. A recurring example is Spark, a concept for helping people set and follow through on meaningful goals.

- Profile: https://b2binfluencer.marketing/creators/aleksandra-d/
- LinkedIn: https://www.linkedin.com/in/aleks-drobik
- LinkedIn followers: 3,091
- Topics: artificial-intelligence, product-management, learning-and-development
- Based on 10 dated posts, latest 2026-10-02

## Summary

Most useful for early-stage AI proof-of-concept thinking, problem framing, and L&D goal-setting content.

- Best for: A learning-and-development technology brand planning educational case study or workshop content.
- Not for: Brands seeking proven AI product endorsements, quantified savings, or established enterprise implementation stories.
- Check first: Confirm their preferred partnership format, inquiry route, and audience breakdown before contacting them.

### Takeaways

- They treat poor follow-through as a design problem, not simply a lack of motivation.
- They turn remembered L&D frustrations into user stories, noting they are not verbatim quotes.
- Their Spark business case estimates time savings but is a scenario, not an actual pitch.

## Main ideas

- **Treat poor follow-through as a design problem, not a lack of motivation**: Aleks challenges the assumption that people fail to set goals because they lack skill or will. Existing processes can leave people without useful support, while follow-up falls to managers.
- **Turn user frustrations into needs without presenting memory as interview data**: Aleks uses user stories to connect difficulties people describe with the support they need. They distinguish remembered themes from verbatim research: the examples were reconstructed from conversations in learning-and-development circles, not recorded quotations.
- **Make a business case, but label estimates and unfinished work honestly**: Aleks argues that a concept should connect to a plausible business benefit, while distinguishing assumptions from what has actually happened. A calculation can help frame a case; it is not proof of savings or adoption.
- **Understand why you are building before you build**: Aleks describes product-management learning as useful when it changes how a project is framed. Their posts apply that principle to Spark: examine the problem, consider its causes, and build a rationale before treating an AI concept as the answer.

## Work to read

- [Earning a Product Management Credential from Cornell University](https://www.linkedin.com/posts/aleks-drobik_im-proud-to-share-that-ive-earned-my-product-activity-7481742718898208768-smAr)
- [Defining AI Proof of Concept Candidates](https://www.linkedin.com/posts/aleks-drobik_happy-fri-yay-as-promised-doing-a-bit-of-activity-7468744202282090497-w9UB)
- [Translating Pain Points into User Stories](https://www.linkedin.com/posts/aleks-drobik_whoopssorry-for-the-long-pause-here-activity-7482812045030178817-Q_8F)
- [Building the Business Case for AI Solutions](https://www.linkedin.com/posts/aleks-drobik_step-7-of-7-making-the-case-mels-last-activity-7510316076556050434-i_VE)

## Brand relationships

- **LinkedIn Learning** (disclosed_partnership)
- **Forward Deployed Operator School** (mention)
- **eCornell** (mention)
- **Women Defining AI** (mention)

## Partnerships

Aleks Drobik currently focuses on professional development, completing Product Management and AI courses, and developing AI proof-of-concept projects. Ask them directly about commercial partnerships, sponsorship opportunities, and established partnership formats.

## Alternatives

- Philippe Desrochers: Choose Philippe when the campaign needs a long-standing HR and career-transformation voice who can speak directly to mid-career professionals. The posts describe more than 15 years in HR, training over 5,500 people, hosting the Career FastTrack podcast, and receiving an Innovation Award and an Inspiration Award. For an L&D technology company, that background suits a campaign about career fulfillment, employee development, or coaching-led adoption, especially if the buyer wants podcast- or workshop-style collaboration rather than a technical AI proof of concept.
- Fabian Herhold: Choose Fabian when the campaign needs someone who has taken an AI product from concept to beta and can talk about activation, onboarding, and measuring user behavior. The posts show Hyreflow reaching 150 workspaces within three weeks, 64 active workspaces in a week, an average first result in about 24 minutes, and use of PostHog and Linear. That experience fits a recruiting or HR technology buyer looking for a founder story about shipping an AI harness and turning signups into real product use.
- Jeff Reekers: Choose Jeff when the campaign needs an enterprise SaaS founder's view of building an AI-powered platform, customer marketing, and go-to-market execution. The posts describe Champion's customer marketing work in the Salesforce ecosystem, 100% gross revenue retention and about 130% net revenue retention, an algorithm for identifying customer champions, and weekly retros about vision, prioritization, hiring, and customers. That fits a buyer looking for leadership lessons on scaling an AI product and a values-led company.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/