Sales

The more I spend time building HUMAIN, the more convinced I become that the age of traditional enterprise sales is coming to an end. Relationship selling alone is no longer enough. In the AI era, value realization and solution selling matter far more than simply pushing products, licenses, or features. Most enterprises today are struggling with one fundamental challenge: they know AI is important, but they do not know how to operationalize it or realize measurable business value from it. Many organizations are still trying to apply AI on top of broken workflows, fragmented data, outdated operating models, and heavy bureaucracy. The future sales organization must look very different. The next generation of enterprise sellers must become: - deeply technical, - operationally aware, - capable of workflow redesign, - capable of discovering hidden inefficiencies, - and able to connect AI to real business outcomes. The conversation can no longer start with technology. It must start with: - What business problem are we solving? - What operational friction exists? - What workflow should disappear? - What can become autonomous? - How do we redesign the enterprise around intelligence and AI agents? In many cases, customers themselves may not even fully understand the root cause of their inefficiencies. This is why the future seller is evolving into something entirely different: part technologist, part operator, part strategist, part transformation architect. At HUMAIN, this transformation has honestly been one of the hardest challenges for me personally. Building AI products is difficult. Building AI infrastructure is difficult. But transforming the mindset of enterprise go-to-market teams may be even harder. I spend a surprising amount of time reading messages that come to me on LinkedIn because I am constantly searching for people who think differently: builders, systems thinkers, operators, problem discoverers, AI-native minds, people obsessed with solving hard problems rather than simply closing deals. The future AI field organization will not look like the traditional sales teams of the past. And I believe the companies that figure this out first will define the next decade of enterprise AI.

Back in 2007, Nobel Prize-winning psychologist Daniel Kahneman taught a private master class to tech founders including Larry Page and Jeff Bezos. The following year, Elon Musk joined. Among the topics: priming, where subtle cues shape our decisions without us realizing it. In that room, Musk pressed on subliminal versus explicit persuasion: “Does the hidden beat the obvious?” Kahneman's answer: "There are many situations in which subliminal effects are stronger than superliminal effects." Translation: Hidden influences shape behavior more than obvious ones. You can't resist what you don't notice. Later after that session, Bezos connected the dots: “You can choose your choice architect.” You either design the decision environment, or it designs you. Amazon designed theirs. One-click purchasing removes the pause where doubt lives. Every additional step is an exit ramp. They chose zero exits. Google designed theirs. That empty white homepage isn't minimal by accident. No portals, no distractions. Just one thought: search. Most companies let chaos choose. Cluttered onboarding. Buried CTAs. Friction everywhere. They're not architects. They're accidents. So how do you become the architect instead of the accident? 1. Choose your pricing architect: Sell your core product for $99/month. Then offer a bundle with two add-ons for $119. The bundle makes the core feel essential. 2. Choose your onboarding architect: When users first sign up, make their first action create immediate value - a report generated, first customer added, dashboard live. Success in 30 seconds primes confidence in everything that follows. In contrast, when you make the frame obvious, you lose it. Slap "Most Popular!" on everything and watch trust erode. The moment users detect manipulation, they create their own frame - one where you're untrustworthy. Kahneman warned Musk about this directly. Covert cues work precisely because they're not noticed. Priming is architecture, not decoration. By the time logic kicks in, the frame has already decided. Because you’re already an architect. The only question is whether you know what you're building.

Thousands of studies. Dozens of leading psychology researchers. Decades of experiments on why some people keep going when others quit… and I’ve boiled it down to the 7 biggest takeaways: 1. Action before motivation. Peter Gollwitzer’s work on implementation intentions shows that taking even the smallest step kickstarts a psychological commitment loop. Action fuels motivation more reliably than waiting to “feel ready.” 2. Make your goals specific. Locke & Latham’s Goal Setting Theory (over 1,000 studies) found that specific, challenging goals (“Run 3 times this week”) consistently lead to higher performance than vague ones (“Get fitter”). 3. Progress fuels persistence. According to the goal‐gradient hypothesis, motivation increases as we get closer to a goal. Studies in both animals and people show that small wins, like filling in progress bars or checking off steps, supercharge persistence. 4. Meaning beats willpower. Roy Baumeister found that willpower is finite, but Victor Frankl’s work on meaning and Kashdan & McKnight’s research on purpose show that a deep “why” sustains effort far beyond raw self-control. 5. Shape your environment. Wendy Wood’s research on habits shows that high self-control people don’t rely on willpower alone; they design their surroundings so the desired action is easy and temptations are out of reach. 6. Use social accountability. Harkins & Szymanski demonstrated the audience effect: people persist longer when others can see or expect their effort. More recently, Gollwitzer & Sheeran’s meta-analysis found that public commitments increase follow-through rates significantly. 7. Expect setbacks. Motivation oscillates; it’s not a flat line. Dörnyei’s process-oriented model outlines how motivation ebbs, flows, and needs recalibration. That shifting energy gives you data. And through it all, there’s one big takeaway: Stop waiting for motivation. Take action. Which one is most relevant for you?

In the age of AI, large corporations — not just startups — can move fast. I often speak with large companies’ C-suite and Boards about AI strategy and implementation, and would like to share some ideas that are applicable to big companies. One key is to create an environment where small, scrappy teams don’t need permission to innovate. Let me explain. Large companies are slower than startups for many reasons. But why are even 3-person, scrappy teams within large companies slower than startups of a similar size? One major reason is that large companies have more to lose, and cannot afford for a small team to build and ship a feature that leaks sensitive information, damages the company brand, hurts revenue, invites regulatory scrutiny, or otherwise damages an important part of the business. To prevent these outcomes, I have seen companies require privacy review, marketing review, financial review, legal review, and so on before a team can ship anything. But if engineers need sign-off from 5 vice presidents before they’re even allowed to launch an MVP (minimum viable product) to run an experiment, how can they ever discover what customers want, iterate quickly, or invent any meaningful new product? Thanks to AI-assisted coding, the world now has a capability to build software prototypes really fast. But many large companies’ processes – designed to protect against legitimate downside risks – make them unable to take advantage of this capability. In contrast, in small startups with no revenue, no customers, and no brand reputation the downside is limited. In fact, going out of business is a very real possibility anyway, so moving fast makes a superior tradeoff to moving slowly to protect against downside risk. In the worst case, it might invent a new way to go out of business, but in a good case, it might become very valuable. Fortunately, large companies have a way out of this conundrum. They can create a sandbox environment for teams to experiment in a way that strictly limits the downside risk. Then those teams can go much faster and not have to slow down to get anyone’s permission. The sandbox environment can be a set of written policies, not necessarily a software implementation of a sandbox. For example, it may permit a team to test the nascent product only on employees of the company and perhaps alpha testers who have signed an NDA, and give no access to sensitive information. It may be allowed to launch product experiments only under newly created brands not tied directly to the company. Perhaps it must operate within a pre-allocated budget for compute. Within this sandbox, there can be broad scope for experimentation. Further, when a prototype shows sufficient promise to bring it to scale, the company can then invest in making sure the software is reliable, secure, treats sensitive information appropriately, is consistent with the company brand, and so on. [At length limit. Full text: https://lnkd.in/gxhtQa-A ]

🗺️ AirBnB Customer Journey Blueprint, a wonderful practical example of how to visualize the entire customer experience for 2 personas, across 8 touch points, with user policies, UI screens and all interactions with the customer service — all on one single page. AirBnB Customer Journey (Google Drive): https://lnkd.in/eKsTjrp4 Spotify Customer Journey (High-res): https://lnkd.in/eX3NBWbJ Now, unlike AirBnB, your product might not need a mapping against user policies. However, it might need other lanes that would be more relevant for your team. E.g. include relevant findings and recommendations from UX research. List key actions needed for next stage. Add relevant UX metrics and unsuccessful touchpoints. That last bit is often missing. Yet customer journeys are often non-linear, with unpredictable entry points, and integrations way beyond the final stage of a customer journey map. It’s in those moments when things leave a perfect path that a product’s UX is actually stress tested. So consider mapping unsuccessful touchpoints as well — failures, error messages, conflicts, incompatibilities, warnings, connectivity issues, eventual lock-outs and frequent log-outs, authentication issues, outages and urgent support inquiries. Even further than that: each team could be able to zoom into specific touch points and attach links to quotes, photos, videos, prototypes, design system docs and Figma files. Perhaps even highlight the desired future state. Technical challenges and pain points. Those unsuccessful states. Now, that would be a remarkable reference to use in the beginning of every design sprint. Such mappings are often overlooked, but they can be very impactful. Not only is it a very tangible way to visualize UX, but it’s also easy to understand, remember and relate to daily — potentially for all teams in the entire organization. And that's something only few artefacts can do. Useful resources: Free Template: Customer Journey Mapping, by Taras Bakusevych https://lnkd.in/e-emkh5A Free Template: End-To-End User Experience Map (Figma), by Justin Tan https://lnkd.in/eir9jg7J Customer Journey Map Template (Figma), by Ed Biden https://lnkd.in/evaUP4kz Free Figma/Miro User Journey Maps Templates https://lnkd.in/etSB7VqB User Journey Maps vs. Service Blueprints (+ Templates) https://lnkd.in/e-JSYtwW UX Mapping Methods (+ Miro/Figma Templates) https://lnkd.in/en3Vje4t #ux #design

India has 150 million+ people above the age 60 and there is a massive opportunity to keep them healthy & fit. But everyone’s focused on Gen Z and no one’s building for their parents. It’s a hard business but a big one. We’ve invested in two companies. Here’s why it’s tough and how one should crack it. Understand the reality first. 1. Elders don’t think of “health” as proactive. They’re conditioned to wait until something breaks before acting. You’re selling a solution to a problem they don’t know they have yet. 2. The 65-year-old needs it but their 35-year-old child pays for it. You're not selling to the elder. You’re selling to their guilt-driven kids in Gurgaon or US. The buyer ≠ the user. 3. Trust is everything and you don’t have it. Indian elders trust: Their doctor, astrologer & their neighbour Not apps. Not tech bros. Not AI. You can't growth hack trust. You earn it slowly, locally. 4. They don’t want new habits. They’ve had the same breakfast for 40 years. You’re not selling a product. You’re undoing decades of routine. 5. Distribution is hyperlocal. Elders don’t click Insta ads. They talk to the uncle in their colony. You scale building by building not by user cohorts. Yes, 150M+ elders. But it’s not one market. It’s a thousand tiny tribes. Different languages, cultures, food habits, family structures, and tech comfort levels. If it were easy, Tata or Reliance would’ve done it already. But it’s wide open now. The one who combines tech + trust + real care will win. So how do you crack it? 1. Think first principles & not trends Don’t build a “senior fitness app.” Ask: Why did they stop moving? What gives them joy? You’re selling independence, not health. 2. Design for peace, not features. One-click help, One daily routine, One trusted face. Great elder products feel like human care not software. 3. Human-first, tech-enable. Don’t replace the daughter. Support her. Train 100 amazing elder coaches. Build tools to help them scale. 4. Don't focus on CAC. Here, it’s about trust per acquisition. You’re not selling toothpaste. You’re asking to be let into their daily life. Start offline. Build trust then tech. 5. You’re in the business of habit change & not selling an app or a pill. Get them to walk 15 minutes a day. Add protein to breakfast. Laugh more. Sleep better. Small wins compound. Don’t build for scale first. Build for consistency. Be in the business of habit change. 6. This isn’t a hackable D2C play. It’s a decade-long trust business. Build for one community. Get to know 100 elders by name. Solve deep, boring problems with elegance. Everyone’s chasing the next billion youth users. But the hidden opportunity lies in serving the first 150 million elders. The elder care market in India isn’t just underserved. It’s misunderstood and needs long-term play. Founders who crack this will build generational companies.

Everyone talks about what is changing in sales that I think it's important to remember what will NEVER change in sales... 👇 Yes, AI is important. Yes, technology advances. Yes, buyers change. BUT there are a lot of things in sales that will never change: 1 - Sales will ALWAYS be about solving problems and helping people. ↳ People can tell when someone is only interested in selling something. ↳ The focus should always be on the problem you solve, not the product. 2 - Listen always has been, and always will be, more important than talking. ↳ The best salespeople listen 2-3X more than they talk. ↳ They ask the right questions and give their customers time to answer. ↳ The encourage their customers to elaborate and go deeper. 3 - People buy from people they TRUST. ↳ In an AI dominated world, trust has never been more valuable. ↳ If they don't trust you, they'll find a salesperson they do trust. 4 - Never sell something to someone who doesn't NEED it. ↳ You might win a sale, but chances are it will get cancelled. ↳ There's also the risk they tell others about their bad experience. 5 - Lying is NEVER acceptable in sales. ↳ If you lie to win a sale, chances are it won't last. ↳ No good salesperson will ever need to lie to win a sale. 6 - Sales success will always be based on hard and smart work. ↳ Hard work is important, but hard smart work will always win. ↳ Quality and quantity come hand in hand in sales. 7 - Salespeople need to be RESILIENT to win at sales. ↳ You'll face a lot of rejection, objection and challenge. ↳ The best in sales walk through it and know how to deal with it. 8 - The most important sales skill is the ability to ADAPT. ↳ Adapting to new tech, new platforms, new tools and new processes. ↳ Adapting to each individual prospect and customer. I'll be the first to embrace new things in sales. But I'll always follow the basics. And after 20+ years in sales I can tell you one thing... The basics will always win. Always.

An AI avatar tried to sell me something last week. At first, it was awkward. It couldn’t get my name right, even after I repeated it a few times. (Okay, I do have an uncommon name.) But it got a lot right. It clearly explained product features, showed me the demo of the feature I was interested in, and nailed my pricing questions. I left wondering: If prospects can talk to AI avatars that answer any question, on-demand, what does that mean for the future of sales? One thing is certain: The sales process will change a lot. And salespeople will spend less time delivering one-size-fits-all pitches and answering basic product questions, and more time on things like: - In depth discovery of use cases that can deliver the highest value  - Building very specific ROI analysis to show prospects value - Following up with targeted communications to every member of buying committee to address goals and concerns They will spend less time: - Updating records and admin tasks - Spending hours trying to research company, contacts, goals - Spending hours building demos that still don't seem targeted As AI takes over the repetitive parts of the sales process, salespeople can build deeper relationships, tackle complex challenges, and create even greater value for their customers. Now, back to the avatar. Did I buy the product? Not this time. But I did buy into the idea that the future of sales is about deeper connection.

A market map with 10,000 companies is impossible to prioritize. These are the 300 to know. I was a VP of Product in sales tech. And I was frustrated with the maps I found. So I've been studying the space and speaking with experts. Here's the players you need to know: — ONE - Core: Revenue Operating System This is your CRM, your system of record - where your sales operation begins. I break this into 3 segments: Enterprise Platforms → Built for large organizations with complex workflows and high-volume deals → Salesforce, Oracle, Microsoft Dynamics 365, SAP Growth-Stage Solutions → Designed for growing businesses that need scalable tools but with flexibility to adapt → HubSpot, Pipedrive, Zoho CRM, SugarCRM Modern CRMs → Startups and fast-scaling companies looking to move fast without rigid systems rely on modern CRMs. → Attio, Affinity, Close.io, Copper, Freshsales. — LAYER TWO - Engagement & Intelligence These tools power outbound outreach, automate sequences, and provide real-time data on prospects: → Outreach, Salesloft, VanillaSoft, Groove Engagement tools ensure your team hits the right prospect at the right time. — LAYER THREE - Revenue Acceleration These platforms shorten deal cycles: → Gong, Salesloft, Chorus.ai, Ebsta With real-time feedback and actionable insights... — LAYER FOUR - Data & Enrichment Your outreach is only as good as the data backing it. These platforms ensure you’re reaching out to right prospects. → ZoomInfo, Apollo.io, Clearbit, Lusha, Hunter io, Cognism — SATELLITE CLUSTERS - Modern GTM Stack These tools enhance parts of the GTM journey. AI-Enhanced Tools → Automate and personalize content creation at scale. → Writer, Grammarly, CopyAI, Jasper Product-Led Motion → Identify sales-ready leads through product engagement. → Pocus, Intercom, Breyta Sales Enablement → Equip sales teams with training, resources, and playbooks to perform at their best. → Seismic, Spekit, Allego Conversational GTM → Convert prospects directly through real-time chat. → Drift (now part of Salesloft) — SATELLITE CLUSTERS- Emerging Categories These are adjacent categories sales teams often still use. Product Analytics → Track user behaviors post-sale for better upsell and retention opportunities. → Amplitude, Mixpanel Customer Success → Ensure long-term customer retention and success beyond the initial sale. → Gainsight, Catalyst, Totango Workspace Integration → Enable seamless collaboration across sales and operations. → Notion, Slack, Airtable, monday.com Revenue Orchestration → Connect workflows across different systems to streamline revenue operations. → NektarAI, Tray.io, Workato, Boomi — This took a lot of time. Reshare ♻️ if you loved this post. What tools would you add?

I got a killer cold call from a real estate agent. Here’s a transcript of the call. Matt: “Josh, this is Matt. I’m an agent in Boca. Do you still own the home on Marbella Drive?” Me: “I do.” Matt: “I don’t suppose you’re looking to sell it?” Me: “I’m not. I like it here.” Game off for a second. Here’s the thing. When you knock on doors, most of the time people aren’t in buy mode. “I’m not interested in moving” isn’t an objection. It’s reality. Now check out the next thing Matt said. Game on. Matt: “Sounds like that’s your forever home.” My desire to correct kicked in. Me: “Well, I don’t know about forever home.” Opening created. Here was Matt’s ask: “Once a quarter, I send out an email about what homes in Boca Rio are selling for. If you’d like, I can add you to the list.” I said yes. Now Matt will be top of mind if I ever want to sell. When prospects tell you they’re happy with their current vendor, here’s some phraseology that might create an opening: “Sounds like they’re perfect.” “Seems like they check every box.” “Do you mind me asking, are there conditions in which you would consider reviewing your options?” If you want to be a better closer, be a better opener.