Remote Work Tools for Project Management

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?

Thrilled to share our new research, co-authored with Annabeth Aagaard and Oliver Gassmann, on how industrial digital platforms are transforming value creation in B2B ecosystems. In many manufacturing settings, platform governance has long been framed as a one-way street: the platform orchestrates, complementors adapt. Our study shows a very different reality. Across five platform providers and five leading manufacturers, we uncover dual orchestration — a dynamic, iterative form of co-governance where both sides continuously adapt roles as digital business models evolve. The paper offers: • A Platform DBM Process Model explaining how value is co-created and co-captured across initiation, proposition design, digital transformation, and revenue sharing. • A Dual Orchestration Governance Framework detailing how transparency, reciprocity, commitment, proximity, and coopetition enable stable collaboration in highly interdependent industrial settings. • Rich case evidence from global platform providers and industrial firms navigating interoperability, data rights, servitization, and emerging AI-driven business models. If you are working on digital transformation, industrial platforms, ecosystem strategy, or B2B business model innovation, I hope you will find the insights useful. Read the open-access article here: Dancing titans: Dual orchestration and governance in industrial digital platforms for B2B value co-creation (Technovation, 2026): https://lnkd.in/dK4_UZpz Happy to discuss the findings or explore collaboration around this line of research. #DigitalPlatforms #IndustrialPlatforms #DualOrchestration #PlatformGovernance #B2BInnovation #EcosystemStrategy #DigitalBusinessModels #Servitization #ValueCoCreation #ValueCoCapture #ManufacturingInnovation #DigitalTransformation #IIoT #PlatformEconomy #EcosystemGovernance #CollaborationDynamics #OpenInnovation #DataDrivenInnovation #Technovation #ResearchPublication

Streamline Your New Hire Journey with SAP SuccessFactors Onboarding SAP SuccessFactors Onboarding is more than just an orientation tool—it's a pivotal solution that connects seamlessly with other modules to ensure new hires feel supported from day one. Here's how it integrates with key modules: 👉 Recruiting: Automatically transition candidates into the onboarding process directly from their application. 👉 Employee Central: Facilitate smooth conversion of candidates into employees, whether or not they're sourced via Recruiting. 👉 Learning: Assign courses to new hires even before their first day, ensuring they hit the ground running. 👉 Performance & Goals: Empower employees by setting goals as part of their onboarding journey with templates for New Hire Goal Management. 👉 DocuSign: Enable digital signatures for forms, ensuring compliance and ease across devices. 👉 Qualtrics Employee Lifecycle: Collect actionable feedback through automated surveys triggered upon program completion. Opportunities for Enhanced Integrations: There are potential areas to amplify the onboarding experience: 👉 ITSM tools like ServiceNow: Automate provisioning of equipment and systems access for new employees. What integrations do you think are essential for a next-gen onboarding process? Share your thoughts below! 👇 #SAPSuccessFactors #Onboarding #HRTech #EmployeeExperience #Integration

When I first started in communications, internal and external messaging lived in two separate worlds, but wow, has that changed. If you’re navigating this evolving landscape, here are a few strategies that have worked for me: 🧩 Integration: Align your internal and external channels to create a unified message across the board. 💪 Consistency: Build trust by delivering communications on a predictable schedule. 🔨 Utility: Repurpose your existing tools in innovative ways to tackle multiple communications goals. 🤝 Engagement: Make even the smallest details engaging to keep your audience interested. 🎨 Creativity: Strive to balance informative content with creative storytelling that resonates. Today, “#mixternal” communications or integrating internal and external communications to reinforce a company’s message is the new path forward. Don’t forget, your colleagues are one of your most important audiences—and biggest advocates externally.

An ecosystem is more than just integrations! Plugging into APIs and calling it a day is NOT partnerships. Often integrations are table stakes to opening a door towards a partnership, in order to drive growth and win-win's for all participants. If not, they’re just a marketing collaboration which will only go so far. Or worse, something that keeps your team busy without delivering real impact. Partner managers inevitably get fired or leave frustrated sooner or later. This is what happens in most companies: ➡ They integrate where engineering capacity allows without a clear strategy. ➡ They measure success by connection count, or number of partners and not by real business impact. ➡ Their partnerships aren’t aligned with the company’s big-picture goals, and this isn't communicated effectively enough. So what should your team be doing instead? ✅ Assess where ecosystem plays make sense. Not every integration is valuable. Focus on ones that enhance your core offering, outside of your product roadmap, improve customer experience, or create new revenue streams. ✅ Prioritise partners that create network effects, not just one-off connections. The best partnerships amplify your business by driving more adoption, expanding reach, or unlocking new markets. ✅ Structure partnerships for repeatable success. Build systems. An effective ecosystem isn’t built on one-time deals, it’s designed for scalability and long-term value on both sides Aimless integrations are just an expense. Light integrations too often frustrate customers rather than add value. A true ecosystem attracts the right partners, the right users, and creates real business impact along the entire customer journey. If your company needs help building a real ecosystem, we at Hockey Stick Advisory can help. #partnership #ecosystem #growth

In today’s always-on world, downtime isn’t just an inconvenience — it’s a liability. One missed alert, one overlooked spike, and suddenly your users are staring at error pages and your credibility is on the line. System reliability is the foundation of trust and business continuity and it starts with proactive monitoring and smart alerting. 📊 𝐊𝐞𝐲 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐌𝐞𝐭𝐫𝐢𝐜𝐬: 💻 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: 📌CPU, memory, disk usage: Think of these as your system’s vital signs. If they’re maxing out, trouble is likely around the corner. 📌Network traffic and errors: Sudden spikes or drops could mean a misbehaving service or something more malicious. 🌐 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 📌Request/response counts: Gauge system load and user engagement. 📌Latency (P50, P95, P99):  These help you understand not just the average experience, but the worst ones too. 📌Error rates: Your first hint that something in the code, config, or connection just broke. 📌Queue length and lag: Delayed processing? Might be a jam in the pipeline. 📦 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐨𝐫 𝐀𝐏𝐈𝐬): 📌Inter-service call latency: Detect bottlenecks between services. 📌Retry/failure counts: Spot instability in downstream service interactions. 📌Circuit breaker state: Watch for degraded service states due to repeated failures. 📂 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞: 📌Query latency: Identify slow queries that impact performance. 📌Connection pool usage: Monitor database connection limits and contention. 📌Cache hit/miss ratio: Ensure caching is reducing DB load effectively. 📌Slow queries: Flag expensive operations for optimization. 🔄 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐉𝐨𝐛/𝐐𝐮𝐞𝐮𝐞: 📌Job success/failure rates: Failed jobs are often silent killers of user experience. 📌Processing latency: Measure how long jobs take to complete. 📌Queue length: Watch for backlogs that could impact system performance. 🔒 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: 📌Unauthorized access attempts: Don’t wait until a breach to care about this. 📌Unusual login activity: Catch compromised credentials early. 📌TLS cert expiry: Avoid outages and insecure connections due to expired certificates. ✅𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐀𝐥𝐞𝐫𝐭𝐬: 📌Alert on symptoms, not causes. 📌Trigger alerts on significant deviations or trends, not only fixed metric limits. 📌Avoid alert flapping with buffers and stability checks to reduce noise. 📌Classify alerts by severity levels – Not everything is a page. Reserve those for critical issues. Slack or email can handle the rest. 📌Alerts should tell a story : what’s broken, where, and what to check next. Include links to dashboards, logs, and deploy history. 🛠 𝐓𝐨𝐨𝐥𝐬 𝐔𝐬𝐞𝐝: 📌 Metrics collection: Prometheus, Datadog, CloudWatch etc. 📌Alerting: PagerDuty, Opsgenie etc. 📌Visualization: Grafana, Kibana etc. 📌Log monitoring: Splunk, Loki etc. #tech #blog #devops #observability #monitoring #alerts

If your dashboard doesn’t answer these 3 questions in under 60 seconds, it’s not helping. Project managers aren’t just building reports. We’re building visibility. We’re building alignment. We’re building trust. And too often, dashboards turn into data dumps that no one actually reads. I’ve learned this the hard way: when stakeholders don’t get what they need from your dashboard, they default to side messages, follow-up meetings, or worse, silence. That's why every dashboard should focus on just three main questions: 1. What’s on track? Let them see wins at a glance. It builds confidence. Example: “Frontend 95% done, UAT still on track for Friday.” 2. What’s at risk? Call out blockers early, before they spiral. Example: “Testing delayed due to vendor handoff, patch in motion.” 3. What needs a decision? Make choices visible so momentum doesn’t stall. Example: “Scope change approval needed, will push timeline 3 days.” Dashboards are not just for project status. They’re built with stakeholders in mind, designed to match how they think, decide, and act. And when done right? They reduce status meetings. They cut back confusion. They show stakeholders exactly what they need, when they need it. Because clarity doesn’t come from more data. It comes from asking better questions. → Found this helpful? Repost ♺ and follow Jesus Romero for grounded PM frameworks that elevate clarity and trust.

“Dashboards are dead”? Only the context-free ones. Most teams start with definitions. They write a KPI dictionary, argue about formulas, then stack charts. Start with relationships. Map what drives what. Use metric maps and driver trees to sketch causality. ↳ Then define formulas. ↳ Then design screens. ↳ Then pick visuals. Here’s the 4-layer model we use: 1) Maps & Drivers: – metrics maps – driver trees 2) Definitions: – cohorts – formulas – granularity – attribution model – validation checks 3) Information Architecture – filters – page flow – drill paths – segments – comparisons 4) Visuals & UX – chart patterns – color semantics – legends & labels – responsive layout – conditional formatting Why this order? Because “what moved?” is useless without “why.” Common traps this avoids: ✕ Glossary-first thinking. Clean formulas ≠ causal logic. ✕ Chart sprawl. More graphs ≠ more clarity. ✕ Mixed levels. Result, diagnostic, actionable in one pot. If your dashboard doesn’t explain change, it’s reporting, not analytics. Build the logic first. Then display it. #dashboards

#ClientProblems “To be honest, there are so many different data initiatives in our company, and nobody has an overview anymore. This leads to inefficiencies, and a lot of work is duplicated.” 💡 No problem. ➡ Let's work together to create greater transparency. 1️⃣ First, let's define a central repository where we collect information about data initiatives. This can be the company's internal collaboration system (such as Confluence or Sharepoint) or external software. 2️⃣ Data portfolio management systems such as YOOI, casebase.ai or Mindfuel's Delight are particularly suitable as external software. They simplify not only the overview, but also the use case exploration process, risk management and the measurability of the generated impacts. 3️⃣ One by one, I go through each department and enter the various initiatives, their data sources, and the people responsible. 4️⃣ This repository is the single source of truth (SSOT) for data initiatives and should be maintained by a data portfolio manager and/or the project owners. 5️⃣ Before new data projects are initiated, the dashboard can be used to check whether similar topics have already been addressed. 6️⃣ A central dashboard also has the advantage of making it clear which data projects are working with which data sources. If a data source is to be changed, the impact on the various initiatives can be seen. ______________ 🙋♀️ Hello, I'm Lisa, and I'm a Freelance Data & AI Strategist. 🔥 I write about #DataStrategy, #DataScience, and #Leadership. I dream of a world where everyone benefits equally from technological progress and uses data to make more conscious decisions. 👍 Did you like the post? Feel free to connect with me and let me know your opinion in a comment. 🛠️ Do you believe I could support your company on the journey to becoming a data-driven organization? Please reach out to me, and we can explore how I can assist you!