# Has anyone else struggled with navigation and staying oriented in large research projects? When I work on a complex theme across multiple companies, I sometimes feel like I lose my sense of direction inside AlphaSense. I follow one thread into a filing, then a transcript, then another document type, and at some point I cannot easily retrace how I got there or where this fits in my broader project. The mix of different views and features is powerful, yet I still find the layout a bit confusing, especially when I return to a topic after a few days and try to pick up where I left off. It leaves me recreating work or trying to rebuild the same path through the content, which costs time and makes it harder to maintain a clear storyline. Are others running into this same feeling of getting “lost in the tool,” and if so, how are you staying organized and keeping a clean mental map of your research as you move around the platform? ##### Post Metadata

# Do others feel the AI answers and search prompts fall short when you need very specific insight? I lean on the AI and generative tools when I am under time pressure, but there are moments where the output feels a bit too high level or generic for the detailed questions I am asking. I might ask about a narrow issue for a company and end up with an answer that sounds polished, yet still forces me back into filings or transcripts to find a more precise section myself. On a tight deadline, that double work is frustrating because it looks like I am saving time, then I realize I still need to redo the core research manually. That gap between what the AI could be doing and what it currently delivers shows up most when I am trying to prepare a very specific angle for a stakeholder. How often are you finding that you need to redo or refine AI‑generated answers, and are there particular use cases where you now avoid relying on it altogether? ##### Post Metadata

# In what ways does the current pricing model fit or clash with how often you actually use AlphaSense? I really value what AlphaSense can do, but I struggle with how the price lines up with how my team actually works. There are stretches where I live in the product, then quieter periods where I barely log in, and in those slower months the subscription cost feels hard to justify. As a smaller firm, I feel that pressure even more, especially when finance asks why we are paying enterprise‑level fees for something a few of us might only touch a few hours per quarter. It creates awkward conversations internally, even when everyone agrees the tool is strong. For those in similar situations, how are you reconciling the cost with uneven or lighter usage, and has anyone found a way to make the spend feel proportionate to real‑world use? ##### Post Metadata

# How are you handling the steep learning curve without losing a week of productivity? When I first got access to AlphaSense I was excited, then quickly realized how much time it would take before I could really trust myself to use it efficiently. There are so many views, filters, and AI tools that I regularly catch myself thinking there must be a better way to do what I am trying to do, but I do not know where it lives. Early on, I definitely lost hours just clicking around and feeling like I was “drinking from a firehose” instead of moving my projects forward. Even now, I worry I am only scratching the surface and missing ways to shorten my workflow because I never got past the initial trial‑and‑error phase. For those of you who made it through that early stage, how did you get from overwhelmed to confident without sacrificing too much of your day‑to‑day work in the process? ##### Post Metadata

# Complex search results and noisy alerts are eating into my research time and client prep I rely on AlphaSense to help me cut through noise, but lately I feel like I am fighting the tool just to get to the few paragraphs that really matter. I often start with what I think is a targeted query, then end up scrolling through pages of broadly relevant hits and manually digging for the one section a client actually cares about. Alerts can be similar. I set them up to stay ahead of news, then find my inbox flooded with items that only loosely match what I need, which I then have to manually sift before meetings. The result is extra time cleaning signal from noise, and I sometimes show up to a call feeling less sharp than I should because too much of my prep went into sorting instead of thinking. Is anyone finding a reliable way to cut down the noise in searches and alerts so that most of the time you land directly on decision‑ready material rather than having to re‑research inside AlphaSense? ##### Post Metadata

# What is AlphaSense used for? What is AlphaSense used for? ##### Post Metadata