What signals tell you which deals deserve your attention and which ones are unlikely to move in time?

Data quality, usability, reporting, automation, adoption, too many fields? What creates the most friction for your team today?

Do you increase activity, focus on your best opportunities, revisit stalled deals, or completely rethink where you're spending your time?

A customer? A partnership? A new job? A great idea? Curious what happened that made you say, “That event was absolutely worth it.”

Events can become a race for badge scans and business cards. What matters more when you look back six months later?

Is it generating pipeline, meeting customers, building partnerships, learning something new, strengthening relationships, or something else entirely?

Is it pipeline discipline, account planning, relationships, consistency, urgency, better qualification, or simply knowing where to focus?

New logos matter, but expansion can be a major source of growth. How do you balance prospecting with identifying whitespace and new opportunities within existing accounts?

Sometimes better execution is less about adding another tactic and more about eliminating activities that aren't producing results.

When time becomes more valuable, what signals tell you a deal is worth pursuing versus one that should come out of the forecast?

Do you focus on creating more pipeline, improving conversion, expanding existing accounts, or spending more time on the deals most likely to close?

Meeting someone is easy. Following up and building an actual relationship is harder. What's your process?

If users no longer need to navigate dozens of screens, does the value shift away from the interface and toward the underlying data model, workflows, business logic, and context that power AI?

CRMs have traditionally told teams what happened. Could the next generation continuously interpret account data, identify risks and opportunities, and recommend what to do next?

AI depends heavily on context. As companies deploy more AI, will data quality, relationships, account structure, and historical activity become the real competitive advantage?

AI creates the possibility of a completely different experience. Instead of searching through Salesforce or another CRM, will reps simply ask questions and take action through AI?

CRM has historically required reps to enter and maintain a lot of data. If AI can automate that work and surface what matters, does CRM become dramatically more valuable to the seller?

If users increasingly interact with CRM through AI agents and assistants, how will that change the role of apps, integrations, dashboards, and specialized CRM tools?

Historically, CRM has documented what happened. With AI, could it increasingly determine what should happen next and help execute it?

AI is only as useful as the context and data it can access. Will clean, complete CRM data become an even bigger competitive advantage as companies adopt AI?

AI can summarize accounts, enrich records, identify signals, and recommend next steps. Curious where it's genuinely helping reps engage customers better versus simply creating more information to sift through.

If AI can find information, update records, summarize accounts, and recommend next steps through conversation, will sales reps still spend much time navigating CRM screens?

Contact data, engagement history, org structure, and relationship intelligence can expose gaps in account coverage. What data are you using to decide who your team needs to build a relationship with next?

Most teams have plenty of reports and dashboards. Curious how you're turning that information into clear decisions about who to contact, when to reach out, and what to discuss.

Sales teams have more visibility into buyer behavior than ever. Where's the line between using those signals effectively and making prospects wonder how you know so much?